Create the page "Systems" on this wiki! See also the search results found.
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71 B (8 words) - 07:46, 9 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
- ...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]]10 KB (1,726 words) - 07:26, 26 February 2014
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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
- == <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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396 B (64 words) - 15:33, 3 December 2017
- = <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
- [[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
- 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
- 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
- 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
- ...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
- ...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
- =Basic Systems Properties ([[ECE301]])= ==Causal and Non-Causal Systems==2 KB (437 words) - 11:47, 30 January 2011
- Finally, by the multiplication property of linear systems:817 B (143 words) - 14:29, 19 September 2008
- '''Memoryless Systems''' '''Systems with Memory'''654 B (118 words) - 21:21, 18 September 2008
- '''Memoryless Systems''' '''Systems With Memory'''710 B (134 words) - 11:40, 19 September 2008
- To relate to the systems that were already use in example371 B (77 words) - 08:09, 19 September 2008
- == Memory and Memoryless Systems ==1,019 B (198 words) - 10:05, 19 September 2008
- == Causal & Non-casual Systems==673 B (109 words) - 16:45, 19 September 2008
- Systems with memory492 B (87 words) - 11:46, 30 January 2011
- ...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
- [[Category:signals and systems]] ...ignals_and_systems_practice_problems_list|practice problem on "Signals and Systems"]]1 KB (217 words) - 11:04, 16 September 2013
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- === LTI systems and Fourier transforms === === LTI systems defined by Differential/difference equations ===2 KB (243 words) - 08:04, 21 November 2008
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- The systems response to this signal would be... The systems response to this signal by direct computation would be...2 KB (339 words) - 07:23, 25 September 2008
- The unit impulse is the systems response to an input of the function <math>\delta(t)</math>.731 B (144 words) - 06:42, 25 September 2008
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- ...\infty} a_kH(j\omega_0 k) e^{j\omega_0 k}</math> from pg228 in Signals and Systems (Oppenheim & Willsky)2 KB (297 words) - 17:34, 25 September 2008
- The unit impulse response is simply the systems response to an input <math>\delta(t)\!</math>. Thus, in our case, the unit1 KB (275 words) - 11:52, 25 September 2008
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- The system function is found using the following formula (for LTI systems)2 KB (434 words) - 18:11, 25 September 2008
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- The system function can be found using the following formula (for LTI systems)2 KB (360 words) - 18:54, 25 September 2008
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- == CT LTI Systems == For CT systems that are LTI:100 B (21 words) - 10:54, 26 September 2008
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- To help answer this question, I consulted Signals and Systems, Oppenheim Willsky and Nawab.992 B (159 words) - 18:33, 26 September 2008
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- ...ticing nasty questions from calculus instead of learning about signals and systems.667 B (107 words) - 18:49, 7 October 2008
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- ...keep having trouble with is the "box" concept that is used when cascading systems. I always end up doing the inverse of what is supposed to happen.183 B (32 words) - 18:47, 8 October 2008
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- * [[Emily Blount: DT and CT frequency response for systems characterized by Linear, Constant coefficients, Difference Equations_ECE3013 KB (406 words) - 11:28, 16 September 2013
- =Some Practice Exam Problems for signals and systems ([[ECE301]])=4 KB (753 words) - 16:48, 23 April 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
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- Many communication systems rely on the concept of sinusoidal amplitude modulation, in which a complex Signals & Systems, 2nd edition, Oppenheim, Willsky3 KB (523 words) - 19:18, 16 November 2008
- signals and systems2 KB (292 words) - 21:24, 23 November 2008
- ...an important role in the investigation of the stability or instability of systems.2 KB (291 words) - 19:18, 24 November 2008
- #Processing CT Signals Using DT Systems (Vinyl to CD) ...(You Can Hear the Music on the Amplitude Modulation Radio -''Everclear'') Systems with the general form <math> y(t) = x(t)c(t) </math> where <math>c(t)</math21 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
- ...(You Can Hear the Music on the Amplitude Modulation Radio -''Everclear'') Systems with the general form <math> y(t) = x(t)c(t) </math> where <math>c(t)</math1 KB (174 words) - 07:10, 8 December 2008
- #Processing CT Signals Using DT Systems (Vinyl to CD)2 KB (254 words) - 07:05, 8 December 2008
- cultures and educational systems that value, encourage and support7 KB (1,222 words) - 07:22, 16 October 2008
- cultures and educational systems that value, encourage and support7 KB (1,228 words) - 18:05, 16 October 2008
- ...plications to Gene Expression Analysis,” Proc. Int’l Conf. Intelligent Systems for Molecular Biology, pp. 307-316, 2000.8 KB (1,173 words) - 12:41, 26 April 2008
- ...or data classification, through a learning process. Learning in biological systems involves adjustments to the synaptic connections that exist between the neu8 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
- ...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
- This is the kiwi page for the course ECE301: Signals and Systems.655 B (93 words) - 12:00, 6 May 2008
- ==Systems in General== [[Simplified view of cascaded systems (Quiz 1)_Old Kiwi]]1 KB (249 words) - 18:35, 16 March 2008
- ...hreading bu humans and Machines, vol. 150 of NATO ASI Series. Computer and Systems Sciences, pp. 399-408, 1996.''' ''Abstract:'' Face recognition systems typically operate robustly only within highly constrained environments. Thi39 KB (5,715 words) - 10:52, 25 April 2008
- ...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
- ==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
- ...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
- ...through other transforms if you are trying to find the final output of the systems. This explanation seems somewhat confusing, so I tried looking at it in a3 KB (500 words) - 19:06, 16 March 2008
- ==LTI Systems==2 KB (363 words) - 21:12, 16 March 2008
- Linear Time Invariant (LTI) systems have properties that arise from the properties of convolution.1 KB (190 words) - 21:15, 16 March 2008
- ...reasoning behind CBR applications. CBR is a type of expert system. Expert systems are a branch of AI. The purpose of explaining CBR, its applications, and ac ==Expert systems==6 KB (1,055 words) - 11:14, 7 April 2008
- ...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 ...l attempts have been made to develop good video retrieval systems. In some systems, classifying videos into categories like action, sports, animation, news/le4 KB (549 words) - 14:40, 25 April 2008
- Signals & Systems Second Edition Alan V. Oppenheim, Alan S. Willsky, with S. Hamid Nawab444 B (79 words) - 14:21, 30 March 2008
- ...ing papers describe state of the art of video classification and retrieval systems systems.2 KB (222 words) - 12:12, 11 April 2008
- ##[[DT LTI systems: The convolution sum_Old Kiwi]] ##[[CT LTI systems: The convolution integral_Old Kiwi]]4 KB (531 words) - 11:32, 25 July 2008
- Signals & Systems475 B (83 words) - 20:35, 1 May 2008
- *** Chapter 10 of "Signals and Systems" By Oppenheim, Willsky, and Nawab (the ECE301 book). == Part 2 (week 7-12): DT Systems ==9 KB (1,237 words) - 09:29, 5 October 2009
- ...idea to list stupid or funny examples of classifying D.T. systems or C.T. systems. -- Adam Frey993 B (192 words) - 11:01, 23 June 2009
- ...ignals_and_systems_practice_problems_list|practice problem on "Signals and Systems"]] ...nd_systems_practice_problems_list|Back to Practice Problems on Signals and Systems]]2 KB (276 words) - 10:09, 16 September 2013
- * Differential/difference equations for DT/CT LTI systems computed via Fourier transform * DT implementation of CT systems/filters5 KB (643 words) - 11:55, 6 August 2009
- == CAUSAL SYSTEMS ==286 B (50 words) - 13:33, 1 July 2009
- '''Side Note:''' All memoryless systems are causal.882 B (176 words) - 17:19, 1 July 2009
- == Memory-less Systems == A memory-less system is a systems which has an output which is only dependent on the present state of time/in1,009 B (173 words) - 18:21, 1 July 2009
- == Causal Systems ==436 B (79 words) - 19:03, 1 July 2009
- == LTI Systems == * LTI systems described by [[differential/difference equations]]1 KB (152 words) - 04:06, 23 July 2009
- [[Image:For Causal CT systems.doc]]38 B (6 words) - 21:16, 22 July 2009
- memoryless- the systems outputs depends on only current inputs causel- the systems outputs depends on only currnt or past inputs741 B (128 words) - 04:04, 23 July 2009
- *Systems ...ouman/ece301/notes/pdf2/TimeDomainAnalysis.pdf Time Domain Analysis of LTI Systems]6 KB (785 words) - 06:02, 1 March 2010
- ...a lot easier. Also convolution is a very important point when it comes to systems you learn in ECE301. Also, if you get a chance take it from Decarlo, this i7 KB (1,297 words) - 11:41, 10 December 2011
- 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 0-911577 KB (1,153 words) - 14:06, 24 August 2009
- ===EE301 Signals and Systems=== |Homework 3 due – Impulse Response of LTI Systems1 KB (190 words) - 15:00, 24 August 2009
- ...m and it's my favorite course this semester. Anyone interested in embedded systems should sign up for this team because for once you leave most of theory behi5 KB (879 words) - 04:52, 13 December 2010
- ...atement is true. Godel's deathblow was to show that all similarly powerful systems of arithmetic will be capable of generating such true but unprovable statem ...y strange phenomenon, and the fact that it emerges inevitably from certain systems of arithmetic makes me think that it is much more than a mere tool. There i3 KB (516 words) - 19:46, 16 September 2009
- ...id grasp on "1D signals/systems" before you start dealing with "2D signals/systems". Otherwise, the material will likely be very confusing.--[[User:rscheidt|r10 KB (1,812 words) - 14:00, 16 December 2011
- ...the Fourier transform" for EE. Somebody suggested "The future of operating systems" for Compe/CS. We do not know what would be a good topic for math. Please h992 B (171 words) - 05:45, 11 September 2009
- '''A:''' Digital signals and systems. == Advantages of Digital Signals & Systems ==1 KB (170 words) - 10:07, 23 September 2009
- ...g, (mainly Spectral Analysis, Filter Design and Image Processing), Digital Systems Design and Psychology (sounds weird for a EE right? But the brain is bette2 KB (268 words) - 09:43, 14 May 2010
- By comparing the results of the previous two systems (with and without the upsampler), it can be seen that adding an up-sampler5 KB (840 words) - 19:08, 22 September 2009
- ...utomated customer "service" systems for large corporations, where the menu systems are voice-activated (instead of touch-tone-activated). This technique is of8 KB (1,268 words) - 07:16, 23 September 2009
- From [[ECE301|ECE301:"Signals and Systems"]] lecture by [[user:mboutin|Prof. Boutin]], Fall 2009.3 KB (640 words) - 13:17, 2 December 2011
- Director, Measurement Science and Systems Engineering Division ...ociated with electronics, sensors, signals, communications, and integrated systems. As Director, he is responsible for the strategic direction of the organiz3 KB (507 words) - 08:30, 22 October 2009
- ...lar cost benefit analyses upon the different apparatuses and physiological systems that organisms possess, and the result is typically a hodgepodge of comprom27 KB (4,384 words) - 17:47, 26 October 2009
- Linear and shift invariant systems: [[Media:LinearShiftInvariantImagingSystems.pdf]]226 B (25 words) - 20:03, 11 November 2009
- [[Category:signals and systems]] = [[Peer_legacy |Peer Legacy]] for [[ECE301]]: "Signals and Systems" =14 KB (2,366 words) - 17:32, 21 April 2013
- ...s some examples. It wasn't of much help. The ECE 301 textbook - "Signals & Systems" by Oppenheim - is still a good reference and useful to keep. There were a17 KB (3,004 words) - 08:11, 15 December 2011
- *[[Peer_Legacy_ECE301|ECE301: Signals and Systems]] *[[Peer_Legacy_ECE362|ECE362: Microprocessing Systems and Interfacing]]4 KB (489 words) - 06:24, 24 April 2012
- ...which teams of undergraduates are designing, building, and deploying real systems to solve engineering-based problems for local community service and educati875 B (120 words) - 09:27, 15 March 2012
- ...it applies directly to solving a system of liner equations. A lot of these systems can be found in ME statics and ECE circuit analysis and Fourier transforma3 KB (557 words) - 13:26, 12 December 2013
- ...eld of unmanned aircrafts. Despite the criticity of these kind of embedded systems, I think there will be more and more Artificial Intelligence onboard. That ...er engineering at ECE. My research work is in dependability in distributed systems. My adviser is Prof. Saurabh Bagchi. In this course I expect to learn class8 KB (1,359 words) - 04:54, 6 May 2010
- I feel that the systems has more disadvantages than advantages. There now can be such a small wind3 KB (540 words) - 10:04, 14 February 2010
- ...eneous second order equations. That way, when you get to higher order and systems of differential equations, the transition will be a lot smoother. [[User:Jh648 B (102 words) - 04:38, 17 February 2010
- ...y form to solve [[Linear_transformation|linear transformations]] and other systems of equations. It reduces the number of variables (represented by the numbe872 B (145 words) - 07:11, 14 April 2010
- ...be solved using Gauss-Jordan elimination, consecutive substitution, or for systems with only two variables you can use graphical methods by representing each2 KB (283 words) - 10:29, 9 April 2010
- [[Category:signals and systems]] ''' [[ECE301| ECE301: Signals and Systems]]'''2 KB (305 words) - 10:13, 15 May 2013