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- [[Category:signals and systems]] ''' [[ECE301| ECE301: Signals and Systems]]'''6 KB (818 words) - 06:12, 16 September 2013
- [[Category:signals and systems]] ''' [[ECE301| ECE301: Signals and Systems]]'''890 B (101 words) - 17:30, 21 April 2013
- [[Category:signals and systems]] ...ww.projectrhea.org/learning/practice.php Practice Problems] on Signals and Systems12 KB (1,768 words) - 10:25, 22 January 2018
- [[Category:signals and systems]] =Review of an Alternate Signals and Systems Textbook (for [[ECE301]])=2 KB (395 words) - 16:43, 23 April 2013
- '''SIGNALS AND SYSTEMS''' ...course book, alternative book starts with more clear representation of the systems and signals, so that students can move more smoothly into the course aspect6 KB (955 words) - 10:54, 6 May 2012
- == Thoughts on the Formal Systems ==3 KB (463 words) - 18:23, 25 September 2011
- ...how the student the difference between Continuous and Discrete signals and systems, and how to identify them. '''Systems'''3 KB (516 words) - 17:03, 2 December 2018
- [[Category:signals and systems]] ''' [[ECE301| ECE301: Signals and Systems]]'''760 B (99 words) - 17:55, 23 April 2013
- :↳ [[ECE637_optical_imaging_systems_S13_mhossain|Topic 1: Optical Imaging Systems]] ...s_space_domain_models_S13_mhossain|Space Domain Models for Optical Imaging Systems]]2 KB (318 words) - 07:23, 26 February 2014
- :↳ [[ECE637_optical_imaging_systems_S13_mhossain|Topic 1: Optical Imaging Systems]] ...s_space_domain_models_S13_mhossain|Space Domain Models for Optical Imaging Systems]]8 KB (1,399 words) - 07:23, 26 February 2014
- :↳ [[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
- :↳ [[ECE637_optical_imaging_systems_S13_mhossain|Topic 1: Optical Imaging Systems]] ...s_space_domain_models_S13_mhossain|Space Domain Models for Optical Imaging Systems]]3 KB (445 words) - 07:23, 26 February 2014
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- :↳ [[ECE637_optical_imaging_systems_S13_mhossain|Topic 1: Optical Imaging Systems]] :::↳ Talk: Intro to Optical Imaging Systems1 KB (205 words) - 08:17, 26 April 2013
- :↳ [[ECE637_optical_imaging_systems_S13_mhossain|Topic 1: Optical Imaging Systems]] ...s_space_domain_models_S13_mhossain|Space Domain Models for Optical Imaging Systems]]1 KB (193 words) - 08:18, 26 April 2013
- :↳ [[ECE637_optical_imaging_systems_S13_mhossain|Topic 1: Optical Imaging Systems]] ...s_space_domain_models_S13_mhossain|Space Domain Models for Optical Imaging Systems]]2 KB (267 words) - 09:17, 26 April 2013
- [[Category:signals and systems]] ''' [[ECE301| ECE301: Signals and Systems]]'''3 KB (328 words) - 17:57, 30 November 2018
- [[Category:signals and systems]] ''' [[ECE301| ECE301: Signals and Systems]]'''1,016 B (146 words) - 16:32, 23 April 2013
- =Top Pages in Category "Signals and Systems"= *[[ECE301|ECE301: "Signals and Systems"]], a Purdue Undergraduate course for [[ECE]] students179 members (0 subcategories, 0 files) - 06:12, 21 April 2013
- Category for pages related to digital Systems10 members (0 subcategories, 0 files) - 06:09, 23 July 2013
- ...r_signals_and_systems_S13_mhossain|Topic 4: Discrete Parameter Signals and Systems]] <font size= 3> Topic 4: Discrete Parameter Signals and Systems </font size>2 KB (278 words) - 07:26, 26 February 2014
- ...r_signals_and_systems_S13_mhossain|Topic 4: Discrete Parameter Signals and Systems]]2 KB (209 words) - 18:26, 29 July 2013
- ...r_signals_and_systems_S13_mhossain|Topic 4: Discrete Parameter Signals and Systems]]10 KB (1,726 words) - 07:26, 26 February 2014
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22 members (0 subcategories, 0 files) - 06:06, 26 August 2013
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- <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
- ...e= 3> Talk: [[ECE600_F13_Linear_Systems_with_Random_Inputs_mhossain|Linear Systems with Random Inputs]] </font size> ...re notes on [[ECE600_F13_Linear_Systems_with_Random_Inputs_mhossain|linear systems with random inputs]]. Please leave me a comment below if you have any quest785 B (122 words) - 19:11, 1 December 2013
File:Fig1 linear systems with random inputs.png (405 × 83 (2 KB)) - 20:09, 1 December 2013File:Fig2 linear systems with random inputs.png (405 × 83 (2 KB)) - 20:10, 1 December 2013File:Fig3 linear systems with random inputs.png (279 × 219 (3 KB)) - 20:11, 1 December 2013File:Fig4 linear systems with random inputs.png (647 × 365 (16 KB)) - 20:11, 1 December 2013- == <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> ==10 KB (1,613 words) - 23:16, 21 November 2017
- == <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 system8 KB (1,377 words) - 04:04, 19 November 2017
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- = <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
- ===Application of LTI Systems and Convolution in Matlab===341 B (55 words) - 20:19, 2 December 2018
- =Application of LTI Systems and Convolution in Matlab=7 KB (1,070 words) - 00:57, 3 December 2018
Page text matches
- ...on rather than having to solve a system of a lot of equations? I'm getting systems of 5, sometimes, 7 equations...there must be a better way of doing this.545 B (92 words) - 17:29, 22 October 2008
- [[ECE301|Back to ECE301: "signals and Systems"]]1 KB (171 words) - 06:06, 29 August 2011
- [[ECE301|Back to ECE301: "signals and systems"]]2 KB (362 words) - 07:05, 11 July 2012
- ==Cascading Systems== Consider two systems:1 KB (226 words) - 06:23, 4 September 2008
- Signals & Systems 2nd Edition Authors: S. Hamid Nawab, Alan V. Oppenheim, Alan S. Willsky659 B (111 words) - 12:12, 4 September 2008
- Credit: Problems were taken from Signals & Systems 2nd ed. (Oppenheim) Page 611 KB (209 words) - 09:49, 5 September 2008
- ...th fundamental period T = 2π. This comes from the definition of periodic systems. A function x(t) is periodic if there exists some T > 0 for which x(t + T)563 B (104 words) - 09:23, 5 September 2008
- In Signals and Systems we will most commonly see complex numbers in signal analysis. Complex numbe583 B (93 words) - 09:35, 5 September 2008
- Complex signals can do a fairly good job of describing systems can represent periodic oscillating systems as well as damped and undamped, but1 KB (189 words) - 14:17, 5 September 2008
- NONLINEAR SYSTEMS:735 B (133 words) - 18:51, 11 September 2008
- ...f scaling and superposition. Thus, the following holds true for all linear systems:1 KB (231 words) - 05:55, 10 September 2008
- '''SYSTEMS'''2 KB (299 words) - 15:49, 11 September 2008
- == Examples of Linear and Non-Linear Systems ==838 B (157 words) - 10:00, 11 September 2008
- == Time Invariant Systems== == Examples of Time Invariant Systems ==786 B (181 words) - 10:13, 11 September 2008
- Since the outputs of both systems above are the same and it does not matter whether you multiply and add firs Since the outputs of both systems are not the same and it DOES matter whether you multiply and ass first or i2 KB (346 words) - 11:26, 11 September 2008
- == Linear Systems ==1 KB (225 words) - 17:05, 11 September 2008
- Note: Both of the examples above were taken from Signals & Systems, second edition by Alan V. Oppenheim and Alan S. Willsky pg. 54.2 KB (290 words) - 19:23, 11 September 2008
- Note: The examples shown here were taken from Signals & Systems Second edition by Alan V. Oppenheim and Alan S. Willsky pg.511 KB (213 words) - 20:13, 11 September 2008
- In the case above, for the systems to be linear, z(t) must equal w(t)2 KB (285 words) - 07:21, 12 September 2008
- My definition of linearity in terms of systems is: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 magnitude947 B (193 words) - 14:54, 12 September 2008
- =Linear Systems= ...the natural log (ln) of any input, then the output for sum of the parallel systems would yield <math>ln(x(t)) + ln(w(t)) \ </math>1 KB (270 words) - 09:58, 12 September 2008
- Time Invariant Systems are systems that produce the same output for a given input signal that has a time shift821 B (152 words) - 13:44, 12 September 2008
- ==Linear Systems==804 B (172 words) - 17:03, 12 September 2008
- 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 Nicholas Gentry - Systems and Properties_ECE301Fall2008mboutin]]12 KB (1,763 words) - 11:27, 16 September 2013
- Your definitions of causal and non-causal systems look good to me. -Christen Juzeszyn2 KB (271 words) - 19:09, 19 September 2008
- First let's take a quick look at the example systems' results to determine what the system does.1 KB (207 words) - 10:38, 17 September 2008
- ...any future value of 't'. Furthermore, we can conclude that all memoryless systems are causal because they only depend on a present value of 't'.862 B (150 words) - 18:27, 16 September 2008
- ...read and understand. I also liked how you pointed out that all memoryless systems are ...he first part I particularly liked the deduction you made about memoryless systems. In the second I liked how you pointed out that a non-causal system can al1 KB (190 words) - 13:57, 18 September 2008
- So, the systems response to cos(2t is:532 B (89 words) - 11:09, 15 September 2008
- ==Formal Definition of Memoryless Systems== ==Formal Definition of Causal Systems==2 KB (318 words) - 14:57, 25 September 2008
- '''Invertible systems'''625 B (115 words) - 08:57, 18 September 2008
- == Time Invariant Systems == == Time Variant Systems: ==523 B (94 words) - 13:46, 16 September 2008
- The block diagram is an excellent way to represent systems. I would give you an A+ if I were the professor :-) The whole procedure to1 KB (208 words) - 06:42, 19 September 2008
- Systems given: The basic concept known from the systems given is:682 B (131 words) - 15:55, 16 September 2008
- ...x(t)\!</math> reaction to a past or future time. Thus, these functions are systems with memory. Jayanth's Comments : THE EXAMPLES given for systems with memory is WRONG. (t-3)^2 is a scalar.So system is memory-less.1 KB (202 words) - 15:42, 19 September 2008
- ...time and still leave with a full understanding of memoryless functions and systems with memory. People should stop man-crushing on Ben's answers, and start ad434 B (73 words) - 11:08, 17 September 2008
- ...understand what's going on. Your explanations for memoryless systems and systems with memory was clear. -Phil Cannon THE EXAMPLES given for systems with memory is WRONG. (t-3)^2 is a scalar.So system is memory-less. -Jayant1 KB (221 words) - 17:36, 19 September 2008
- ...may also prove difficult/impossible to utilize correctly with more complex systems. Actually, from HW2, problem E clearly demonstrates this issue. A more ri1 KB (217 words) - 09:30, 18 September 2008
- ...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
- == Memoryless Systems == == Systems with Memory ==392 B (78 words) - 06:42, 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>?731 B (160 words) - 06:59, 18 September 2008
- The Systems response to527 B (109 words) - 08:35, 18 September 2008
- ...se to <math>cos(2t)\,</math> will be <math>tcos(-2t) \,</math> because the systems input <math>x(t)\,</math> yields response <math>y(t)=tx(-t)\,</math>.171 B (31 words) - 08:10, 18 September 2008
- Good simple definition for casual systems. One thing you could of done is explain why the examples are causal or non243 B (45 words) - 08:46, 18 September 2008
- ...h>cos(2t)=\frac{1}{2}(e^{2jt}+e^{-2jt}) \! </math>. Note we are given the systems response to the inputs <math>e^{2jt} \!</math> and <math>e^{-2jt} \!</math>636 B (119 words) - 12:08, 18 September 2008
- Or more easily understood, if both systems give the same output for any799 B (157 words) - 13:21, 18 September 2008
- So what is the systems response to cos(2t)?558 B (109 words) - 15:09, 18 September 2008
- ...r combination of the two exponential inputs above. Then as a result of the systems linearity, the output will be the just be the linear combination of the out855 B (147 words) - 16:46, 18 September 2008