• ...s in order to analyze users in terms of the roles they play in relation to systems and for task analysis.
    731 B (117 words) - 04:57, 6 April 2010
  • *'''''Solution Methods for Overdetermined Systems of Polynomial Equations with Application to Signal Registration''''' by [[U
    3 KB (408 words) - 09:42, 16 April 2010
  • ...ed in my area of research, intrusion detection (in the context of computer systems). In this scenario, there exists a severe class imbalance between what is c
    5 KB (694 words) - 12:41, 2 February 2012
  • [[Category:signals and systems]]
    4 KB (736 words) - 17:25, 23 April 2013
  • ...o meet Prof. Wachs and learn about his research? Come to the [[Intelligent Systems and Assistive Technologies Lab Open House]]
    2 KB (279 words) - 10:11, 10 August 2010
  • Eigen Vectors are valuable tools in both linear algebra and solving systems of differential equations. In linear algebra Eigen Vectors can be used to
    3 KB (472 words) - 11:11, 23 April 2010
  • In my research area (error detection in software systems), we typically want to perform 2-class classification. For example, we want
    4 KB (821 words) - 16:05, 20 April 2010
  • ...ective curve registration using a novel solution method for overdetermined systems of polynomial equations', In ''IS&T/SPIE joint symposium, Computational [2] Ji Zhang, A solution method for zero dimensional polynomial equation systems and a pose-free framework for the robust solution of the structure from mot
    4 KB (665 words) - 07:14, 23 April 2010
  • ...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
  • ...on and spectral density functions. Random processes and response of linear systems to random inputs.<br/><br/>
    2 KB (231 words) - 07:20, 4 May 2010
  • ...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
  • ...Matrix multiplication MA265F10Walther|Matrix Multiplication and coordinate systems]] | [[ODEs MA265F10Walther|Systems of Differential Equations]]
    7 KB (1,024 words) - 10:42, 3 November 2011
  • | [[DT Systems ECE438F10|DT Systems]]
    9 KB (1,221 words) - 11:00, 22 December 2014
  • ***Chapter 10 of "Signals and Systems" By Oppenheim, Willsky, and Nawab (the ECE301 book). == Part 2 (week 7-14): DT Systems and Applications ==
    9 KB (1,331 words) - 07:15, 29 December 2010
  • =Intelligent Systems and Assistive Technologies Lab Open House=
    699 B (101 words) - 10:10, 10 August 2010
  • * [[2010FallMA265Momin_Linear_Systems|Systems of linear equations]]
    3 KB (552 words) - 07:12, 11 July 2012
  • ==Linear Systems==
    51 B (6 words) - 06:40, 25 August 2010
  • *"Signals and systems", by Oppenheim, Wilsky, and Nawab, Section 1.3.3.
    2 KB (233 words) - 07:52, 7 September 2010
  • [[Category:signals and systems]] ''' [[ECE301| ECE301: Signals and Systems]]'''
    1 KB (142 words) - 09:44, 7 January 2019
  • The following two systems are used to process a signal then the output of the two systems is equal.
    2 KB (373 words) - 10:41, 11 November 2011
  • [[Category:signals and systems]]
    6 KB (999 words) - 13:00, 16 September 2013
  • Q1. Find the impulse response of the following LTI systems and draw their block diagram.
    3 KB (462 words) - 10:42, 11 November 2011
  • Are the following systems LTI? Answer yes/no and prove your answer.
    3 KB (467 words) - 11:29, 20 October 2010
  • We finished the lecture by beginning to discuss DT systems (definition and basic properties). Our emphasis this semester will be on "f
    1,003 B (148 words) - 16:16, 8 October 2010
  • ...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
  • ...equations with constant coefficients. Our focus is going to be on "causal" systems, so the general form of equations we are interested in is
    2 KB (393 words) - 07:25, 25 October 2010
  • ...the frequency response and the transfer function for each of the following systems:
    4 KB (661 words) - 11:22, 30 October 2011
  • ...ausality of the system would also uniquely determine the system, as causal systems always have h[n]=0 for n<0. We obtained a general expression for the transf
    2 KB (329 words) - 12:04, 18 October 2010
  • *[[ECE301|ECE301:Signals and Systems]]
    382 B (52 words) - 12:59, 22 October 2010
  • The respective difference equation for each of these two systems in parallel above may be expressed as Consider the respective outputs of these two systems as the inputs to a pair of length two FIR filters with impulse response, g1
    3 KB (479 words) - 10:42, 11 November 2011
  • a. Note that systems g1 and g2 are Length-2 FIR filters which are of the form – Therefore our two systems are - <br/>
    4 KB (643 words) - 04:31, 1 November 2010
  • Q1. Consider the two LTI systems, <math>y[n]=T_1[x[n]]</math> and <math>y[n]=T_2[x[n]]</math>, with the foll Are the systems stable? Why or why not?
    3 KB (462 words) - 10:42, 11 November 2011
  • *'''Learn &amp; Play: Computer Chess &amp; Engineering Systems:''' Any level - Grades K-5
    3 KB (343 words) - 11:03, 29 November 2010
  • The transfer function of the first and second systems are
    1 KB (206 words) - 08:52, 4 November 2010
  • *[[ECE301|ECE 301]]: "Signals and Systems"
    3 KB (380 words) - 18:29, 9 January 2015
  • =The six basic properties of Systems, [[ECE301]]=
    2 KB (370 words) - 12:59, 8 November 2010
  • =Rhea Pages about Systems Properties, [[ECE301]]= *[[Six_Basic_Systems_Properties|Six Basic Systems Properties]]
    2 KB (257 words) - 09:08, 6 October 2011
  • [[Category:signals and systems]]
    1 KB (157 words) - 06:50, 16 September 2013
  • ...00 General Concepts of Stochastic Processes Systems with Stochastic Inputs|Systems with Stochastic Inputs]]
    525 B (66 words) - 13:11, 22 November 2010
  • 3.2 Systems with Stochastic Inputs For memoryless systems, the first-order density <math class="inline">f_{\mathbf{Y}\left(t\right)}\
    11 KB (1,964 words) - 11:52, 30 November 2010
  • & \text{Giving us the linear systems} \\ == Linear Systems and Inverses ==
    7 KB (865 words) - 14:32, 12 December 2010
  • =='''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
  • ...tle algorithmic development. Our solution to GPA4 ended up being more of a systems engineering project in which we tied together all existing, correctly funct
    2 KB (398 words) - 06:41, 6 December 2010
  • [[Category:2010FallMA265Momin Linear Systems]] [[ 2010FallMA265Momin Linear Systems|Back to 2010FallMA265Momin Linear Systems]]
    5 KB (883 words) - 21:12, 7 December 2010
  • ...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
  • '''Row Operation; Reduced Row Echelon Form; Solving Linear Systems''' -'''Solving Linear Systems''' : put matrix into REF or RREF and try to solve the linear system of each
    11 KB (1,736 words) - 07:22, 3 July 2012
  • '''4.7 Homogeneous Systems<br>'''
    11 KB (1,931 words) - 07:20, 3 July 2012
  • Determinants are not as efficient as methods for solving systems like in Chapter 2. Determinants are also important in linear transformatio
    4 KB (687 words) - 12:45, 16 December 2010
  • Determinants are not as efficient as methods for solving systems like in Chapter 2. Determinants are also important in linear transformatio
    4 KB (728 words) - 07:22, 3 July 2012
  • = [[ECE301]]:"Signals and Systems", Spring 2011, Professor [[User:Mboutin|Boutin]] = *Causal LTI systems defined by linear, constant coefficients difference equations:
    18 KB (2,485 words) - 10:36, 11 November 2011

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

Alumni Liaison

Basic linear algebra uncovers and clarifies very important geometry and algebra.

Dr. Paul Garrett