Create the page "Linear Systems" on this wiki! See also the search results found.
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- [[Category: Linear Systems]]754 B (75 words) - 11:42, 3 December 2008
- #REDIRECT [[Automatic Controls:Linear Systems (HKNQE August 2007)]]67 B (7 words) - 11:32, 3 December 2008
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- A system is linear if: Or more easily understood, if both systems give the same output for any799 B (157 words) - 13:21, 18 September 2008
- Definition of a linear system: A system is said to be linear if you can multiply any scalar with the input signal, and the output is equ Definition of a non-linear system: A system is said to be non-linear if you cannot multiply any scalar with the input signal, and the output is391 B (70 words) - 05:45, 19 September 2008
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- ==Linear Systems==51 B (6 words) - 06:40, 25 August 2010
- <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
- == <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 syst9 KB (1,504 words) - 23:12, 21 November 2017
- == <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
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396 B (64 words) - 15:33, 3 December 2017
Page text matches
- :[[ECE301|ECE301: "Signals and Systems"]] :[[MA265|MA265: "Linear Algebra]]2 KB (209 words) - 13:07, 9 September 2022
- *[[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
- =The six basic properties of [[Systems]]= (Basic concept covered in [[ECE301]]: Signals and Systems)2 KB (399 words) - 06:06, 21 October 2011
- ==Linear Systems== *[[Automatic Controls:Linear Systems_(HKNQE_August_2007)|August 20007]]214 B (21 words) - 11:35, 3 December 2008
- [[Category: Linear Systems]]754 B (75 words) - 11:42, 3 December 2008
- #REDIRECT [[Automatic Controls:Linear Systems (HKNQE August 2007)]]67 B (7 words) - 11:32, 3 December 2008
- =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
- [[Category:signals and systems]] [[Category: Systems]]4 KB (748 words) - 17:24, 23 April 2013
- Linear Time Invariant (LTI) systems have properties that arise from the properties of convolution.1 KB (178 words) - 11:50, 8 December 2008
- [[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
- [[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 com3 KB (431 words) - 17:29, 23 April 2013
- :[[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
- | 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 systems6 KB (689 words) - 07:59, 2 August 2010
- [[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
- <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>, a2 KB (408 words) - 06:43, 16 September 2013
- * 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
- :[[ECE301|ECE301: "Signals and Systems"]] :[[MA265|MA265: "Linear Algebra]]4 KB (474 words) - 07:08, 4 November 2013
- Linear Circuit Analysis, 2nd edition DeCarlo/Lin [[ECE301|Back to ECE301: "signals and systems"]]2 KB (362 words) - 07:05, 11 July 2012
- '''Linear System''': A system is said to be linear if 1) the magnitude of the system output is proportional to the system inpu735 B (133 words) - 18:51, 11 September 2008
- ...f scaling and superposition. Thus, the following holds true for all linear systems: :A linear system must satisfy the condition1 KB (231 words) - 05:55, 10 September 2008
- == Linear System == A linear system is a system in which you can send the sum of any inputs and when you838 B (157 words) - 10:00, 11 September 2008
- ...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
- == 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
- 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
- == Definition of Linear System == A system is considered linear if for any constants a, b that exist within the complex domain and for any2 KB (285 words) - 07:21, 12 September 2008
- 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
- ...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
- =Linear Systems= A linear system is defined as a system that if two inputs were placed in parallel in1 KB (270 words) - 09:58, 12 September 2008
- ==Linear Systems== ==Example of a Linear System==804 B (172 words) - 17:03, 12 September 2008
- 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 and1 KB (282 words) - 18:13, 12 September 2008
- * [[3.A Cory Ocker Systems Properties_ECE301Fall2008mboutin]] * [[3.A David Hartmann - Linear System_ECE301Fall2008mboutin]]12 KB (1,763 words) - 11:27, 16 September 2013
- 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 "[n2 KB (291 words) - 17:03, 18 September 2008
- ...<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
- : The Signal is Linear :Since the system is linear you can split the signal in two parts527 B (109 words) - 08:35, 18 September 2008
- ...{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
- A system is linear if: Or more easily understood, if both systems give the same output for any799 B (157 words) - 13:21, 18 September 2008
- ...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
- =Basic Systems Properties ([[ECE301]])= ==Causal and Non-Causal Systems==2 KB (437 words) - 11:47, 30 January 2011
- 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
- ...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
- * [[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
- [[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 equation2 KB (401 words) - 17:16, 21 April 2013
- ##Linear Interpolation (Connect the Samples) #Processing CT Signals Using DT Systems (Vinyl to CD)21 KB (3,312 words) - 11:58, 5 December 2008
- ...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
- ##Linear Interpolation (Connect the Samples) #Processing CT Signals Using DT Systems (Vinyl to CD)2 KB (254 words) - 07:05, 8 December 2008
- [[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
- | ? || AC-1|| ? || Linear Systems |ee602 || AC-2 || (CC-2) || LTI and LT Systems -- State-Space Approach2 KB (279 words) - 23:00, 9 March 2008
- 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 fr3 KB (430 words) - 10:40, 24 April 2008
- ...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
- * 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
