Create the page "Linear Systems" on this wiki! See also the search results found.

Page title matches

Page text matches

  • Main Page
    :[[ECE301|ECE301: "Signals and Systems"]] :[[MA265|MA265: "Linear Algebra]]
    2 KB (209 words) - 13:07, 9 September 2022
  • Rhea Portal
    *[[ECE301|ECE301: "Signals and Systems"]], the main page for this upper level ECE course. ...gnals_and_systems_practice_problems_list|Practice problems on "Signals and Systems"]]
    6 KB (877 words) - 07:22, 21 March 2013
  • Basic System Properties (ECE301Summer2008asan)
    =The six basic properties of [[Systems]]= (Basic concept covered in [[ECE301]]: Signals and Systems)
    2 KB (399 words) - 06:06, 21 October 2011
  • HKNQE Automatic Controls
    ==Linear Systems== *[[Automatic Controls:Linear Systems_(HKNQE_August_2007)|August 20007]]
    214 B (21 words) - 11:35, 3 December 2008
  • Automatic Controls:Linear Systems (HKNQE August 2007)
    [[Category: Linear Systems]]
    754 B (75 words) - 11:42, 3 December 2008
  • HKNQE AC Linear Systems August 2007
    #REDIRECT [[Automatic Controls:Linear Systems (HKNQE August 2007)]]
    67 B (7 words) - 11:32, 3 December 2008
  • ECE 301 Fall 2007 mboutin Automated Property Verification
    =Automated System Property Verification (for [[ECE301]]: "signals and systems")= =Basics: Systems as "functions that operate on functions"=
    3 KB (518 words) - 17:00, 23 April 2013
  • ECE 301 Fall 2007 mboutin Properties of Systems
    [[Category:signals and systems]] [[Category: Systems]]
    4 KB (748 words) - 17:24, 23 April 2013
  • ECE 301 Fall 2007 mboutin Properties of Convolution and LTI Systems
    Linear Time Invariant (LTI) systems have properties that arise from the properties of convolution.
    1 KB (178 words) - 11:50, 8 December 2008
  • ECE 301 Fall 2007 mboutin Guide to Partial Fraction Expansion
    [[Category:signals and systems]] <b> Case 1 </b>: Denominator is a product of distinct linear factors.
    4 KB (616 words) - 17:26, 23 April 2013
  • ECE 301 Fall 2007 mboutin Meaning of Fourier Transform
    [[Category:signals and systems]] : "In Chapter 3, we developed a representation of periodic singals as linear combinations of complex exponentials.. Whereas for periodic signals the com
    3 KB (431 words) - 17:29, 23 April 2013
  • List of Course Wikis
    :[[2015_Spring_ECE_201_Peleato|ECE201: "Linear Circuit Analysis I", Prof. Peleato]] **[[2013_Spring_ECE_301_Krogmeier|ECE301: Signals and Systems, Prof. Krogmeier]]
    13 KB (1,570 words) - 13:53, 7 August 2018
  • Lecture Schedule (ECE438BoutinSpring09)
    | align="right" style="padding-right: 1em;" | Wednesday || 01/21/09 || Systems properties, Convolutions <span style="color:red"> HW0 due </span> || 1.2.1, ...right: 1em;" | Monday || 01/26/09 || CT Fourier transform || 1.3.2 || DT systems
    6 KB (689 words) - 07:59, 2 August 2010
  • Main Page ECE301Fall2008mboutin
    [[Category:signals and systems]] ...e 2]]: Example of CT signal (sound); Creating sounds in Matlab; Example of linear system.
    5 KB (720 words) - 06:10, 16 September 2013
  • CourseNotes3 (BoutinSpring2009)
    <h3>Systems</h3> <li>Definition: A system S is linear if for any two input signals <math>x_1(t)</math> and <math>x_2(t)</math>, a
    2 KB (408 words) - 06:43, 16 September 2013
  • Reading guide (ECE438BoutinSpring2009)
    * PM's discussion of Linear algebra and Fourier series: pp. 232-240, 247-253, 399-409, == Systems ==
    8 KB (1,226 words) - 11:40, 1 May 2009
  • Meta Course List
    :[[ECE301|ECE301: "Signals and Systems"]] :[[MA265|MA265: "Linear Algebra]]
    4 KB (474 words) - 07:08, 4 November 2013
  • HW1.3 Zachary Curosh - Euler's Formula ECE301Fall2008mboutin
    Linear Circuit Analysis, 2nd edition DeCarlo/Lin [[ECE301|Back to ECE301: "signals and systems"]]
    2 KB (362 words) - 07:05, 11 July 2012
  • HW2.C Ananya Panja ECE301Fall2008mboutin
    '''Linear System''': A system is said to be linear if 1) the magnitude of the system output is proportional to the system inpu
    735 B (133 words) - 18:51, 11 September 2008
  • HW2.C Aishwar Sabesan ECE301Fall2008mboutin
    ...f scaling and superposition. Thus, the following holds true for all linear systems: :A linear system must satisfy the condition
    1 KB (231 words) - 05:55, 10 September 2008
  • HW2-C Paul Scheffler ECE301Fall2008mboutin
    == Linear System == A linear system is a system in which you can send the sum of any inputs and when you
    838 B (157 words) - 10:00, 11 September 2008
  • HW2-C Zachary Curosh ECE301Fall2008mboutin
    ...tem to get an output w(t). If z(t)=w(t), then this system can be called a linear system. == Example of a Linear System ==
    2 KB (346 words) - 11:26, 11 September 2008
  • HW2-C Phil Cannon ECE301Fall2008mboutin
    == Linear Systems == Because we are engineers we will use a picture to describe a linear system:
    1 KB (225 words) - 17:05, 11 September 2008
  • HW2.C Bavorndej Chanyasak ECE301Fall2008mboutin
    A linear system is a system that an output of a certain signal is the sum of all the For example, to prove that a system is linear, suppose that a system with output <math>y(t)</math> and input <math>x(t)</
    2 KB (290 words) - 19:23, 11 September 2008
  • HW2-C Mark Frankosky ECE301Fall2008mboutin
    == Definition of Linear System == A system is considered linear if for any constants a, b that exist within the complex domain and for any
    2 KB (285 words) - 07:21, 12 September 2008
  • HW2-C Chris Cadwallader ECE301Fall2008mboutin
    My definition of linearity in terms of systems is: ...ose output combined with a linear shift is equivalent to the output if the linear shift is on the input of the system.
    711 B (128 words) - 09:45, 12 September 2008
  • HW2.C Josh Long ECE301Fall2008mboutin
    ...is defined as a system that contains superposition in the book(Signals and Systems 2nd ed. Oppenheim, 53). How I see it is if the input signal has a magnitude == Linear System Example ==
    947 B (193 words) - 14:54, 12 September 2008
  • HW2.C Hang Zhang ECE301Fall2008mboutin
    =Linear Systems= A linear system is defined as a system that if two inputs were placed in parallel in
    1 KB (270 words) - 09:58, 12 September 2008
  • HW2.C Naman Chopra ECE301Fall2008mboutin
    ==Linear Systems== ==Example of a Linear System==
    804 B (172 words) - 17:03, 12 September 2008
  • HW2.C Naman Anand Verma ECE301Fall2008mboutin
    A linear system is as follows: When two separate signals x(t) and y (t) enter two systems individually and their outputs are separately multiplied by constants a and
    1 KB (282 words) - 18:13, 12 September 2008
  • Homework 3 ECE301Fall2008mboutin
    * [[3.A Cory Ocker Systems Properties_ECE301Fall2008mboutin]] * [[3.A David Hartmann - Linear System_ECE301Fall2008mboutin]]
    12 KB (1,763 words) - 11:27, 16 September 2013
  • HW3.A Brian Thomas ECE301Fall2008mboutin
    For an LTI (Linear, Time-Invariant) system f, where <math>h(t) = f(\delta(t))</math>, the syst ...ote:''' The above is for continuous time (CT) systems. Discrete time (DT) systems behave in almost exactly the same way; simply substitute all "(t)" with "[n
    2 KB (291 words) - 17:03, 18 September 2008
  • HW3.B Paul Scheffler ECE301Fall2008mboutin
    ...<math>x(t)=exp(-2jt)</math> is <math>y(t)=t*exp(2jt)</math>. What is the systems response to <math>x(t)=cos(2t)</math>? If a system is linear we know that:
    731 B (160 words) - 06:59, 18 September 2008
  • HW3.B Scott Erdbruegger ECE301Fall2008mboutin
    : The Signal is Linear :Since the system is linear you can split the signal in two parts
    527 B (109 words) - 08:35, 18 September 2008
  • HW3.B Phil Cannon ECE301Fall2008mboutin
    ...{2jt} \!</math> and <math>e^{-2jt} \!</math>. Thus, because the system is linear, we can easily see the system's output to this input will be <math>\frac{1}
    636 B (119 words) - 12:08, 18 September 2008
  • HW3.A Eric Smith - Linear Systems ECE301Fall2008mboutin
    A system is linear if: Or more easily understood, if both systems give the same output for any
    799 B (157 words) - 13:21, 18 September 2008
  • 3.B Adrian Delancy ECE301Fall2008mboutin
    ...n as a result of the systems linearity, the output will be the just be the linear combination of the outputs of the two exponential above.
    855 B (147 words) - 16:46, 18 September 2008
  • 3.A Adrian Delancy ECE301Fall2008mboutin
    =Basic Systems Properties ([[ECE301]])= ==Causal and Non-Causal Systems==
    2 KB (437 words) - 11:47, 30 January 2011
  • HW3.B Allen Humphreys ECE301Fall2008mboutin
    We know that the system is linear, therefore, we can sum the inputs to equal the sum of outputs: Finally, by the multiplication property of linear systems:
    817 B (143 words) - 14:29, 19 September 2008
  • HW3.B David Hartmann ECE301Fall2008mboutin
    ...tion of [[3.A David Hartmann - Linear System_ECE301Fall2008mboutin| Linear systems]] we know the response to <math>\alpha x_1(t) + \beta x_2(t) </math> is <
    786 B (156 words) - 15:32, 19 September 2008
  • Homework 7 ECE301Fall2008mboutin
    * [[Emily Blount: DT and CT frequency response for systems characterized by Linear, Constant coefficients, Difference Equations_ECE301Fall2008mboutin]]
    3 KB (406 words) - 11:28, 16 September 2013
  • Zachary Curosh - Frequency Response and Difference Equations ECE301Fall2008mboutin
    [[Category:signals and systems]] ...ent difference equations are very important to the practice of signals and systems. They are of special importance when implementing filters. These equation
    2 KB (401 words) - 17:16, 21 April 2013
  • Exam3 ECE301Fall2008mboutin
    ##Linear Interpolation (Connect the Samples) #Processing CT Signals Using DT Systems (Vinyl to CD)
    21 KB (3,312 words) - 11:58, 5 December 2008
  • Final ECE301Fall2008mboutin
    ...tanding of the difference between discrete and continuous time signals and systems. [1,2;a] :(c) an ability to determine the response of linear systems to any input signal convolution in the time domain. [1,2,4;a,e,k]
    7 KB (1,017 words) - 10:05, 11 December 2008
  • Chapter 7 ECE301Fall2008mboutin
    ##Linear Interpolation (Connect the Samples) #Processing CT Signals Using DT Systems (Vinyl to CD)
    2 KB (254 words) - 07:05, 8 December 2008
  • Lecture 13 - Kernel function for SVMs and ANNs introduction Old Kiwi
    [[Lecture 8 - MLE, BPE and Linear Discriminant Functions_Old Kiwi|8]], [[Lecture 9 - Linear Discriminant Functions_Old Kiwi|9]],
    8 KB (1,354 words) - 08:51, 17 January 2013
  • Old QE question numbering Old Kiwi
    | ? || AC-1|| ? || Linear Systems |ee602 || AC-2 || (CC-2) || LTI and LT Systems -- State-Space Approach
    2 KB (279 words) - 23:00, 9 March 2008
  • Feature Extraction Old Kiwi
    Fisher's linear discriminant is a classification method that projects high-dimensional data ...omotive intelligence applications such as automatic lane departure warning systems. Here, three features are chosen to identify lanes in a stream of images fr
    3 KB (430 words) - 10:40, 24 April 2008
  • Publications Old Kiwi
    ...nsable tool for many statistical modeling techniques, in particular in non-linear modeling with non-normal data. The purpose of this paper is to provide a go ===A paper that describes the fisher's linear discriminant for patter recognition===
    39 KB (5,715 words) - 10:52, 25 April 2008
  • Applications of Pattern Recognition Old Kiwi
    * Fisher Linear Discriminant (FLD) is widely used in face recognition. Here is a paper for ...from that model. This offers the dual benefits of adaptivity to individual systems/users/sites and of (in principle) being less vulnerable to novel attacks.
    6 KB (905 words) - 12:18, 28 April 2008
  • Automated property verification Old Kiwi
    ==Basics: Systems as "functions that operate on functions"== ...the "system" functions (such as ``timeshift`` above) to prove things about systems.
    3 KB (495 words) - 18:39, 16 March 2008
  • Properties of Systems Old Kiwi
    ...memory, time invariant systems, linear systems, causal systems and stable systems. This post will detail how to check if a system exhibits these general pro == Systems with and without memory:==
    3 KB (614 words) - 13:35, 2 April 2008
  • Properties of Convolution and LTI systems Old Kiwi
    Linear Time Invariant (LTI) systems have properties that arise from the properties of convolution.
    1 KB (190 words) - 21:15, 16 March 2008
  • Image Processing Old Kiwi
    Fisher Linear Discriminant (FLD) is widely used in face recognition. Here is a paper for ...is imperative to achieve good accuracy. Some of well-known image retrieval systems are 'imgseek', 'blobworld' [http://citeseer.ist.psu.edu/72984.html], 'Bag o
    4 KB (549 words) - 14:40, 25 April 2008
  • Course Summary ECE438Fall09mboutin
    ** PM's discussion of Linear algebra and Fourier series: pp. 232-240, 247-253, 399-409, *** Chapter 10 of "Signals and Systems" By Oppenheim, Willsky, and Nawab (the ECE301 book).
    9 KB (1,237 words) - 09:29, 5 October 2009
  • Tyler Mattmuller- Homework 5.3
    memoryless- the systems outputs depends on only current inputs causel- the systems outputs depends on only currnt or past inputs
    741 B (128 words) - 04:04, 23 July 2009
  • Detailed Course Description
    Signals and Systems, (2nd Ed.), A. V. Oppenheim, A. S. Willsky with S. H. Nawab, Prentice-Hall, Signals and Systems, 3rd edition, N. Levan, Optimization Software, Inc., New York, ISBN 0-91157
    7 KB (1,153 words) - 14:06, 24 August 2009
  • 11-11 lecture note
    Linear and shift invariant systems: [[Media:LinearShiftInvariantImagingSystems.pdf]]
    226 B (25 words) - 20:03, 11 November 2009
  • Peer legacy
    *[[PeerLegacyMA265|MA265: Linear Algebra]] *[[PeerLegacyMA351|MA351: Elementary Linear Algebra]]
    4 KB (489 words) - 06:24, 24 April 2012
  • Reduced Row Echelon Form
    ...y form to solve [[Linear_transformation|linear transformations]] and other systems of equations. It reduces the number of variables (represented by the numbe [[MA351|Back to MA351:"Elementary Linear Algebra"]]
    872 B (145 words) - 07:11, 14 April 2010
  • System of linear equations
    =System of Linear Equations= ...n tandem with another. Also, the relations must be linear, thus the name "linear equations".
    2 KB (283 words) - 10:29, 9 April 2010
  • Eigen Vector(linear algebra)
    ...in both linear algebra and solving systems of differential equations. In linear algebra Eigen Vectors can be used to find the diagonalized form of a matrix ...re scalar multiples of the corresponding base vector. In other words, for linear transformation <math>T</math> with matrix <math>A</math> and a proposed dia
    3 KB (472 words) - 11:11, 23 April 2010
  • Snikitha ListECE301
    ...screte-time processing of continuous-time signals. Discrete-time nonlinear systems: median-type filters, threshold decomposition. System design examples such ...tanding of the difference between discrete and continuous time signals and systems.
    3 KB (394 words) - 07:08, 4 May 2010
  • Snikitha ListECE302
    ...on and spectral density functions. Random processes and response of linear systems to random inputs.<br/><br/> ...>iii. an ability to determine the random process model for the output of a linear system when the system and input random process models are known. <br/><br/
    2 KB (231 words) - 07:20, 4 May 2010
  • ANN Simulink examples ece662 Sp2010
    ...this case, 80 "epochs" or training runs by default. For simpler nonlinear systems, this might not be an issue. The following MATLAB code uses the Neural Net ...Self-Organizing Map] method for unsupervised learning is ideal for complex systems with multiple inputs, multiple outputs, and only 2 dimensions. Example 2 f
    5 KB (746 words) - 09:55, 11 May 2010
  • 2010 Fall MA 265 Walther
    ...earn up to a 5% bonus by contributing a Rhea page on a subject related to linear algebra. To pick a subject, simply write your name next to it. Please no mo ...Matrix multiplication MA265F10Walther|Matrix Multiplication and coordinate systems]]
    7 KB (1,024 words) - 10:42, 3 November 2011
  • Lecture Schedule ECE438Fall10 Boutin
    **PM's discussion of Linear algebra and Fourier series: pp. 232-240, 247-253, 399-409, ***Chapter 10 of "Signals and Systems" By Oppenheim, Willsky, and Nawab (the ECE301 book).
    9 KB (1,331 words) - 07:15, 29 December 2010
  • 2010 Fall MA 265 Momin
    [[Category:linear algebra]] Linear Algebra Sections 7-10
    3 KB (552 words) - 07:12, 11 July 2012
  • 2010FallMA265Momin Linear Systems
    ==Linear Systems==
    51 B (6 words) - 06:40, 25 August 2010
  • Fourier series coefficients student 1
    [[Category:signals and systems]] ...tegration by parts. It works, but there is an easier way: express sin as a linear combination of exponential (using [[More_on_Eulers_formula|Euler's formula]
    6 KB (999 words) - 13:00, 16 September 2013
  • ECE438 Week8 Quiz
    Q1. Find the impulse response of the following LTI systems and draw their block diagram. b. State whether or not this system is (i) linear, (ii) time-invariant, (iii) memoryless, (iv) causal, (v) bounded-input-boun
    3 KB (462 words) - 10:42, 11 November 2011
  • Lecture20ECE438F10
    ...me-Invariant (LTI) DT systems. We listed some important properties of such systems, which led us to the concepts of "Frequency Response" and "Transfer functio
    867 B (122 words) - 16:21, 8 October 2010
  • Six Basic Systems Properties
    =The six basic properties of Systems, [[ECE301]]= ...operty holds, that is, that linear combinations of inputs lead to the same linear combinations of the outputs.
    2 KB (370 words) - 12:59, 8 November 2010
  • ECE 600 General Concepts of Stochastic Processes Systems with Stochastic Inputs
    3.2 Systems with Stochastic Inputs 2. Linear time-invariant system
    11 KB (1,964 words) - 11:52, 30 November 2010
  • Inverse MA265F10Walther
    In linear algebra, the study of matrices is one of the fundamental basis of this subj & \text{Giving us the linear systems} \\
    7 KB (865 words) - 14:32, 12 December 2010
  • Matrix multiplication MA265F10Walther
    =='''Matrix Multiplication and Coordinate Systems'''== ...Algebra, I will focus specifically on Matrix Multiplication and Coordinate Systems. This page is created to enhance the understanding of these subtopics for [
    6 KB (1,018 words) - 22:13, 6 December 2010
  • Proof that det(A)=det(A^T)
    [[Category:2010FallMA265Momin Linear Systems]] [[ 2010FallMA265Momin Linear Systems|Back to 2010FallMA265Momin Linear Systems]]
    5 KB (883 words) - 21:12, 7 December 2010
  • Bernoulli History
    [[Category:linear algebra]] ...st as his most productive time. Bernoulli and Euler both studied vibrating systems and published many papers about the topic. While working in St. Petersburg,
    9 KB (1,558 words) - 15:55, 18 February 2015
  • MA 265 Chapter Revies... Chapter 1 - Chapter 5
    [[Category:linear algebra]] - '''Linear Combination''': <math> c_{\text{1}}A_{\text{1}} + c_{\text{2}}A_{\text{2}}
    11 KB (1,736 words) - 07:22, 3 July 2012
  • Elementary Linear Algebra Chapter 4: Real Vector Spaces
    = Elementary Linear Algebra Chapter 4: Real Vector Spaces = Note: This page is based on the fourth chapter in Elementary Linear Algebra with Applications (Ninth Edition) by Bernard Kolman and David R Hil
    11 KB (1,931 words) - 07:20, 3 July 2012
  • Sections 3.1 - 3.5
    ...for solving systems like in Chapter 2. Determinants are also important in linear transformations when discussed in Chapter 6.
    4 KB (687 words) - 12:45, 16 December 2010
  • Sections 3.1 - 3.2
    [[Category:linear algebra]] ...for solving systems like in Chapter 2. Determinants are also important in linear transformations when discussed in Chapter 6.
    4 KB (728 words) - 07:22, 3 July 2012
  • 2011 Spring ECE 301 Boutin
    = [[ECE301]]:"Signals and Systems", Spring 2011, Professor [[User:Mboutin|Boutin]] = **[[Linearity of a system ECE301S11|Is the following system linear?]]
    18 KB (2,485 words) - 10:36, 11 November 2011
  • Linearity of a system ECE301S11
    ...gnals_and_systems_practice_problems_list|Practice Question on "Signals and Systems"]]''' Is the system linear (yes/no)? Justify your answer.
    1 KB (241 words) - 16:23, 26 November 2013
  • HW3 ECE301 Spring2011 Prof Boutin
    Which of the following systems are invertible? Memoryless? Causal? Stable? Linear? Time-invariant? (Justify your answers mathematically.) Determine the unit impulse response of each of the four systems described in Question 1.
    3 KB (402 words) - 12:19, 7 February 2011
  • 2011 Spring ECE 301 Bouton Notes
    == LTI systems defined by linear, constant coef diff eq's == Now find the systems responce to <math class = "inline" > x[n] = \left( \frac{1}{4} \right)^n u[
    10 KB (1,788 words) - 09:22, 11 April 2013
  • Lecture 10 online ECE301S11 Prof Boutin
    #Remaining properties of LTI systems: ##Causality for LTI systems (Section 2.3.6)
    10 KB (1,922 words) - 13:46, 2 February 2011
  • HW3 ECE301 Spring2011 Prof Boutin Solutions
    ...ne">y_2[n]=a^2x_1[n]x_1[n-1]\neq ay_1[n]</math>, then the system is '''not linear'''. Hence the system is '''linear'''.
    14 KB (2,585 words) - 17:30, 15 February 2011
  • Signals and systems practice problems list
    [[Category:signals and systems]] ...ww.projectrhea.org/learning/practice.php Practice Problems] on Signals and Systems
    12 KB (1,768 words) - 10:25, 22 January 2018
  • Lecture24ECE301S11
    * Try out this practice question on causal LTI systems defined by linear, constant coefficients difference equations: ...erence_Equation_no1_ECE301S11|Example of "typical" questions on causal LTI systems defined by difference equations]]
    1 KB (202 words) - 16:24, 7 March 2011
  • Causal LTI System Difference Equation no1 ECE301S11
    ...ory:Problem_solving|Practice Question]] on Causal LTI systems defined by a linear, constant coefficient difference equation =
    5 KB (793 words) - 10:28, 11 November 2011
  • ECE301inBME
    == Examples of Signals and Systems in Biomedical Engineering: == *'''Physiological Systems Modeling''' – Physiological processes can often be modeled mathematically
    17 KB (2,368 words) - 10:53, 6 May 2012
  • Linearity Spring 2011
    <u></u>A system is called '''linear''' if for any constants <math>a,b\in </math>&nbsp; ''all complex numbers'' ...</sub>(''t''),''x''<sub>2</sub>(''t'')</span> then we say the system is '''linear'''.
    2 KB (255 words) - 10:50, 6 May 2012
  • Isomorphisms - Brief Description and Application
    (Elementary Linear Algebra with Applications, Kolman and Hill, 9th ed.) NOTE: Mapping L onto W as satisfies the properties of a) and b) is a linear transformation covered in section 6.1 of the textbook for MA265
    3 KB (472 words) - 06:23, 10 May 2011
  • Book Review/Bhakti
    == Shaum's Outlines, Signals and Systems Review (for [[ECE301]])== I have attempted to critique Shaum’s outlines of Signals and Systems in comparison to the ECE 301 course text book Signals and System’s 2nd ed
    5 KB (802 words) - 16:44, 23 April 2013
  • 2011 Fall MA 265 Walther
    ...earn up to a 5% bonus by contributing a Rhea page on a subject related to linear algebra. To pick a subject, simply write your name next to it. Please no mo ...Matrix multiplication MA265F11Walther|Matrix Multiplication and coordinate systems]]
    7 KB (1,026 words) - 15:11, 16 December 2011
  • Lecture Schedule ECE438Fall11 Boutin
    **PM's discussion of Linear algebra and Fourier series: pp. 232-240, 247-253, 399-409, ***Chapter 10 of "Signals and Systems" By Oppenheim, Willsky, and Nawab (the ECE301 book).
    9 KB (1,341 words) - 03:52, 31 August 2013
  • Daniel's Ramble
    ...gned myself the task of writing few articles regarding/aiding the study of Linear Algebra.I hope to keep the contents relevant to what I learn in the class, | [[Formal Systems]]
    1 KB (168 words) - 16:33, 25 September 2011
  • Formal Systems
    == Thoughts on the Formal Systems == ...ngineering problems without mathematical representation, and techniques of linear algebra and differential equations are incredibly useful in acquiring a sol
    3 KB (463 words) - 18:23, 25 September 2011
  • Linear programming MA265F11Walther
    [[Category:linear algebra]] '''Linear Programming'''
    5 KB (736 words) - 09:14, 11 April 2013
  • Determinants MA265F11Walther
    [[Category:linear algebra]] ...in the solution of linear systems and are really usefull for the study of linear transformations. Lets ''S = {1,2,...,n}'' be the set of integers from ''1''
    19 KB (3,106 words) - 09:07, 11 April 2013
  • Matrix multiplication MA265F11Walther
    [[Category:linear algebra]] '''Matrix Multiplication and Coordinate Systems'''
    11 KB (1,835 words) - 09:06, 11 April 2013
  • 2012 Spring MA 265 Walther
    ...earn up to a 5% bonus by contributing a Rhea page on a subject related to linear algebra. To pick a subject, simply write your name next to it. Please no mo ...Matrix multiplication MA265S12Walther|Matrix Multiplication and coordinate systems]]
    7 KB (1,081 words) - 05:28, 2 May 2012
  • Prefessional statement johnjachna ECE400S12
    ...rithms, Linear Circuit Analysis, Digital System Design, and Microprocessor Systems and Interfacing. I have also taken more general courses in engineering prob In addition to my Purdue education, I have also spent four summers as a Systems Engineering Intern with Lextech Global Services located in Lisle, Illinois.
    6 KB (964 words) - 12:19, 9 February 2012
  • Lecture 13 - Kernel function for SVMs and ANNs introduction OldKiwi
    [[Lecture 8 - MLE, BPE and Linear Discriminant Functions_OldKiwi|8]]| [[Lecture 9 - Linear Discriminant Functions_OldKiwi|9]]|
    9 KB (1,389 words) - 11:19, 10 June 2013
  • Lecture14ECE662S12
    ...estimator. A well known case where this occurs are ill-conditioned linear systems of equations, which can be more accurately solved after projecting onto the
    2 KB (319 words) - 13:27, 8 March 2012
  • Bonus point projects how to and why
    ...osed topics, names, and deadlines. Here is one such table from a course on linear algebra: ...Matrix multiplication MA265S12Walther|Matrix Multiplication and coordinate systems]]
    3 KB (527 words) - 09:18, 11 April 2013
  • ECE PhD Qualifying Exams
    **Question 1: Feedback Control Systems **Question 2: Linear Time-Invariant and Time-Varying Systems: A State Space Approach
    8 KB (952 words) - 22:00, 1 August 2019
  • 2012 Fall MA 265 Walther
    =[[MA265|MA 265]]: "Linear Algebra", Professor [[user:walther|Walther]], Fall 2012= ...points by contributing a [[About_Rhea|Rhea]] page on a subject related to linear algebra. To pick a subject, simply write your name next to it. Please no mo
    6 KB (934 words) - 08:53, 24 September 2012
  • 2012 Fall MA 265 Alvarado
    [[Category:linear algebra]] =[[MA265|MA 265]]: "Linear Algebra", Professor [[user:alvaraa|Alvarado]], Fall 2012, Sections 011 and
    4 KB (593 words) - 12:27, 14 December 2012
  • 2012 Fall MA 265 Basu
    [[Category:linear algebra]] ...points by contributing a [[About_Rhea|Rhea]] page on a subject related to linear algebra. To pick a subject, simply write your name next to it. Please no mo
    5 KB (761 words) - 02:09, 23 August 2012
  • Course information ECE438F12Ersoy
    *an understanding of linear time invariant systems;
    24 KB (3,522 words) - 07:28, 24 August 2012
  • Echelon form of matrices MA265F12Alvarado
    ===Solving Linear Systems=== ...chelon form of a matrix now we can more efficiently find the solution fo a linear system compared to the elimination method.
    5 KB (828 words) - 22:43, 14 December 2012
  • DYL RADIXFLOAT
    ...ious sorting algorithms, Professor Aliaga mentioned a sorting algorithm of linear running time - radix sort. While showing us how radix sort can be used to s ...ch fall outside the category of of comparison sort, that attains status of linear time sorting algorithm. To illustrate the maneuvers of radix sort, I first
    7 KB (1,030 words) - 11:27, 18 March 2013
  • Bonus point 1 ECE301 Spring2013
    [[Category:signals and systems]] ...response examples for each of the following systems&nbsp;: linear and non-linear, causal and non-causal, with and without memory, invertible/non-invertible,
    3 KB (511 words) - 10:18, 15 May 2013
  • 1st Bonus Point - Ryan Miller
    [[Category:LTI systems]] '''Linear system:''' y[n] = 8x[n/4]
    2 KB (308 words) - 16:53, 10 February 2013
  • ECE301 Bonus questions
    [[Category:LTI systems]] ==Linear and non-linear examples==
    1 KB (241 words) - 11:27, 10 February 2013
  • ECE301ksteckbe
    1. [[Category:LTI systems]] Linear and Non Linear
    2 KB (246 words) - 16:48, 10 February 2013
  • ECE301 S13 BP1 nareetha
    ...response examples for each of the following systems&nbsp;: linear and non-linear, causal and non-causal, with and without memory, invertible/non-invertible, Linear:&nbsp;<span style="line-height: 1.5em;"><span class="texhtml">''y''[''n'']
    2 KB (299 words) - 09:10, 11 February 2013
  • ECE301 Spring2013 Bonus point 1
    [[Category:LTI systems]] '''a.) Linear and non-linear system'''
    1 KB (227 words) - 11:58, 11 February 2013
  • ECE 301 Eric Lewis Bonus lewis91
    [[Category:LTI systems]] Linear: <math>y[n]=x[n]+3x[n-1]</math>
    900 B (150 words) - 12:52, 11 February 2013
  • QE637 T Pro2
    e) Two systems in sequence: : disadvantages: as there are two systems, may introduce more noise.
    4 KB (739 words) - 10:07, 13 September 2013
  • ECE301 Bonus 2 Li Pang Mo
    ...In a LTI system when presented with a impulse signal input δ(t). In a LTI systems, impulse response is also equivalent to green’s function used in physics. An nth order linear differential equation is an equation of the form
    2 KB (322 words) - 23:38, 10 March 2013
  • Change of Bases
    [[Category:linear algebra]] In most systems of math, we write things with a canonical basis. For example, a polynomial,
    8 KB (1,190 words) - 13:10, 25 November 2013
  • Vector Derivatives Cylindrical Coordinates
    ...resulting components together. This is actually not correct for coordinate systems other than Cartesian. One could arrive at the correct formula for the gradi ...es with an arrow atop a letter, except unit vectors that define coordinate systems which will have a hat. 3-D Cartesian coordinates will be indicated by <math
    19 KB (3,027 words) - 12:01, 24 February 2015
  • ECE637 optical imaging systems space domain models S13 mhossain
    :↳ [[ECE637_optical_imaging_systems_S13_mhossain|Topic 1: Optical Imaging Systems]] ...s_space_domain_models_S13_mhossain|Space Domain Models for Optical Imaging Systems]]
    7 KB (1,274 words) - 07:24, 26 February 2014
  • ECE301 signals systems lecture notes
    [[Category:signals and systems]] ''' [[ECE301| ECE301: Signals and Systems]]'''
    3 KB (328 words) - 17:57, 30 November 2018
  • ECE637 tomographic reconstruction intro S13 mhossain
    ...ly but for now the CSFT will suffice in building an understanding of these systems. ...ear transform of your object and you are essentially trying to invert this linear transform. The [[ECE637_tomographic_reconstruction_fourier_slice_theorem_S1
    8 KB (1,168 words) - 07:24, 26 February 2014
  • Jacobian
    Moreover, recall from linear algebra that, in a two dimensional case, the determinant of a matrix of two ===Application #3: Linearization of Systems of Differential Equations===
    18 KB (2,894 words) - 12:17, 3 March 2015
  • ECE637 MRI S13 mhossain
    ...controlled by amplifiers. These coils are similar to ones in your speaker systems. The coils are designed so that the magnetic field changes approximately li ...se <math>\phi(t)</math>. This phase terms appears due to the fact that the linear gradients have been changed at this point. The real part of <math>f(x,y)e^{
    27 KB (4,777 words) - 07:25, 26 February 2014
  • ECE637 discrete parameter signals and systems discrete transforms S13 mhossain
    ...r_signals_and_systems_S13_mhossain|Topic 4: Discrete Parameter Signals and Systems]] Since the DTFT is a linear transform, I will only cover the simplest case when <math>x(n) = 1</math>.
    10 KB (1,726 words) - 07:26, 26 February 2014
  • Lecture Schedule ECE438Fall13 Boutin
    **PM's discussion of Linear algebra and Fourier series: pp. 232-240, 247-253, 399-409, ***Chapter 10 of "Signals and Systems" By Oppenheim, Willsky, and Nawab (the ECE301 book).
    9 KB (1,353 words) - 09:04, 11 November 2013
  • ECE440 Lab2 discussion
    ...tegory:ECE440]] [[Category:ECE]] [[Category:Lab]] [[Category:communication systems]] ...o measure non-linearities (see the pre-lab). Since the RLC circuit is very linear, it is unlikely that the two-tone test would give any interesting distortio
    1 KB (204 words) - 10:09, 15 January 2014
  • Walther279Fall13 Topic3
    ...are designed and reveal the mathematical reasons in designing these voting systems. <!--There’s other voting ballots that have been used. (i.e., Approval vo ...m. A fairness criteria is a mathematical description of the rules a voting systems uses. In a formal mathematical treatment, we can define the mathematical me
    17 KB (2,510 words) - 18:36, 1 December 2013
  • ECE600 F13 notes mhossain
    * [[ECE600_F13_Linear_Systems_with_Random_Inputs_mhossain|Linear Systems with Random Inputs]]
    2 KB (227 words) - 12:10, 21 May 2014
  • ECE440 Lab1 Typed
    ...tegory:ECE440]] [[Category:ECE]] [[Category:Lab]] [[Category:communication systems]] ...udying communication systems and signals, and the effect of noise on these systems. You will frequently need to analyze signals (deterministic and random) in
    14 KB (2,228 words) - 12:03, 15 January 2014
  • ECE600 F13 Linear Systems with Random Inputs mhossain
    <font size= 3> Topic 20: Linear Systems with Random Inputs</font size> ==Linear Systems with Random Inputs==
    8 KB (1,476 words) - 12:13, 21 May 2014
  • Walther375Spring2014 P=NP and complexity of algorithms
    That is considered Linear time denoted by O(n). ...can see, the time to calculate the solution becomes longer and longer. So linear time is about the fastest way to compute an answer where polynomial time is
    13 KB (2,101 words) - 13:55, 27 April 2014
  • Walther375Spring2014 Markov chains: what and how?
    ...found with online libraries). However, in some textbooks (for example, my linear algebra textbook) and resources I have found on the Internet, <span class=" ...he will drink coffee. <br><br>- Matrix Limits and Markov Chains <br>In the Linear Algebra courses (MA351 and MA353 at Purdue University), we learn that a dia
    19 KB (3,004 words) - 09:39, 23 April 2014
  • Lecture Schedule ECE438Fall14 Boutin
    **PM's discussion of Linear algebra and Fourier series: pp. 232-240, 247-253, 399-409, ...eb.ecn.purdue.edu/VISE/ee438L/lab2/pdf/lab2.pdf Lab 2 (on on discrete-time systems)]
    9 KB (1,320 words) - 04:46, 11 September 2014
  • Lecture Schedule ECE438Fall15 Boutin
    **PM's discussion of Linear algebra and Fourier series: pp. 232-240, 247-253, 399-409, ***[[Media:lab2ECE438F15.pdf| Lab 2 (on discrete-time systems)]]
    10 KB (1,356 words) - 13:19, 19 October 2015
  • Chinar Dhamija Linear Network ECE201S15
    [[Category:linear circuits]] =Linear Network Practice=
    1 KB (226 words) - 15:33, 2 May 2015
  • 2015 Summer ECE 301 Jang
    = [[ECE301|ECE 301]]: Signals and systems = Chap 1. Signals and Systems
    6 KB (748 words) - 21:35, 10 August 2015
  • Lecture Schedule ECE438Fall16 Boutin
    **PM's discussion of Linear algebra and Fourier series: pp. 232-240, 247-253, 399-409, *** Lab 2 - on discrete-time systems
    10 KB (1,357 words) - 17:02, 14 September 2016
  • Lecture Schedule ECE438Spring17 Boutin
    **PM's discussion of Linear algebra and Fourier series: pp. 232-240, 247-253, 399-409, *** Lab 2 - on discrete-time systems
    10 KB (1,357 words) - 09:45, 8 January 2017
  • 2017 Fall ECE 438 Boutin
    | [[Z-transform in linear feedback analysis of systems]]
    3 KB (421 words) - 16:18, 10 December 2017
  • Linear Algebra the Intuitive Way
    [[Category:linear algebra]] '''[[Linear Algebra the Intuitive Way]]'''
    1 KB (159 words) - 17:14, 25 October 2017
  • ECE-QE-CE-4-2015
    ==<big>II. Memory systems</big>== ...stored within a linked list. In this scenario, access times are that of a linear search, O(n), as the entire linked list may have to be explored.
    20 KB (3,337 words) - 15:32, 25 April 2017
  • MathSquad2017
    *[[Linear Algebra the Conceptual Way]] by [[user: kelamast|Kevin LaMaster ]] **[[Linear Systems of ODEs]]
    2 KB (280 words) - 09:58, 12 January 2018
  • Linear Algebra done Conceptually
    [[Category:linear algebra]] '''[[Linear Algebra the Intuitive Way]]'''
    1 KB (168 words) - 17:03, 4 November 2017
  • Linear Algebra the Conceptual way
    [[Category:linear algebra]] '''[[Linear Algebra the Conceptual Way]]'''
    1 KB (228 words) - 23:26, 5 November 2017
  • Linear Algebra the Conceptual Way
    [[Category:linear algebra]] '''[[Linear Algebra the Conceptual Way]]'''
    9 KB (1,461 words) - 10:34, 17 November 2017
  • Introduction to Higher-Order ODEs
    ...ree basic methods to solve differential equations in the first order. In a linear equation, we can switch the variable <math>x</math> to a higher order, like ...eal with differential equations in higher orders is to convert them into a linear system of ODEs, which is what we are focusing at in this short tutorial. Ot
    2 KB (283 words) - 02:01, 17 November 2017
  • Introduction to ODEs in Higher Orders
    ...ree basic methods to solve differential equations in the first order. In a linear equation, we can switch the variable <math>x</math> to a higher order, like A direct idea to deal with ODEs in higher orders is to convert them into a linear system of ODEs, which is what we are focusing at in this short tutorial. Ot
    4 KB (712 words) - 23:15, 21 November 2017
  • Linear Systems of ODEs
    == <div style="text-align:center"> Linear Systems of ODEs </div> == <font size="3px"> Similar as systems of algebraic equations, several ODEs can also form a system. A typical syst
    9 KB (1,504 words) - 23:12, 21 November 2017
  • Non-Linear Systems of ODEs
    == <div style="text-align:center"> Non-Linear Systems of ODEs </div> == When the <math>n</math> ODEs are not all linear, this is a nonlinear system of ODE. Consider an example,
    10 KB (1,613 words) - 23:16, 21 November 2017
  • Systems of ODEs
    == <div style="text-align:center"> Systems of ODEs </div> == <font size="3px"> Similar as systems of normal equations, several ODEs can also form a system. A typical system
    8 KB (1,377 words) - 04:04, 19 November 2017
  • MathSquadPages
    *[[Linear Algebra the Conceptual Way]] by [[user: kelamast|Kevin LaMaster ]] * About Bases (in linear algebra), by [[user:ruanj|Joseph Ruan]]
    3 KB (370 words) - 09:55, 12 January 2018
  • ECE PhD QE PE1 2012 Problem1
    ...rthand. The summation and integration may be interchanged because both are linear operations. .../bkabstractplus.jsp?bkn=6712180 ''Analysis of Electric Machinery and Drive Systems'' (Third Edition)]. The fastest route through the problem involves writing
    7 KB (1,270 words) - 14:25, 12 February 2018
  • Signals, Systems, and Biomedical Engineering
    = <u> '''Signals, Systems, and Biomedical Engineering''' </u> = For more information about signals, systems, and biomedical engineering, follow these links:
    12 KB (1,702 words) - 20:48, 9 April 2018
  • SystemPropertiesFall2018
    == <span style="color:red"> Memoryless </span> Systems == ...output signals only depend upon input signals at the specific time. These systems do not depend upon the past input signal, nor the future. <br />
    4 KB (523 words) - 20:12, 17 November 2018
  • Lecture Schedule ECE438Fall2019 Boutin
    **PM's discussion of Linear algebra and Fourier series: pp. 232-240, 247-253, 399-409, *** Lab 2 - on discrete-time systems
    10 KB (1,356 words) - 18:52, 20 August 2019
  • Swanson MA279 Fall2022 topic1
    ...theorems from number theory to produce a serious threat to the security of systems based on RSA, since RSA assumes that factoring can never be carried out in ...every other member of the larger quantum state space can be expressed as a linear combination of them using complex numbers. So, a quantum state Q can be exp
    31 KB (5,039 words) - 17:31, 6 December 2022

View (previous 500 | next 500) (20 | 50 | 100 | 250 | 500)

Retrieved from "https://www.projectrhea.org/rhea/index.php/Special:Search"
Shortcuts
Help Main Wiki Page Random Page Special Pages Log in
Search

Alumni Liaison

Have a piece of advice for Purdue students? Share it through Rhea!

Alumni Liaison