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- [[Category:signal]] Compute the power and energy of the signal1,007 B (151 words) - 12:45, 24 February 2015
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- == Signal ==917 B (143 words) - 08:29, 4 September 2008
- == Signal Energy == == Signal Power ==650 B (86 words) - 05:49, 3 September 2008
- The function that we are using in this example to compute the signal power and energy is:1 KB (170 words) - 17:37, 3 September 2008
- ...e Signal <math>x(t)=3sin(2*pi*3t)</math>, Find the energy and power of the signal from 0 to 5 seconds.1 KB (206 words) - 07:36, 4 September 2008
- This page calculates the Energy and Power of the signal <math>2\sin(t)\cos(t)</math>1 KB (221 words) - 07:17, 4 September 2008
- == Signal Energy == The signal energy expanded from <math>t_1\!</math> to <math>t_2\!</math> is defined as1 KB (172 words) - 12:29, 4 September 2008
- == Signal Energy and Power Calculations == The energy of a signal within specific time limits is defined as:655 B (97 words) - 14:50, 4 September 2008
- Power of the equation <math>e^{-2t}u(t)</math> is 0 because the energy of the signal is < ∞329 B (60 words) - 13:39, 4 September 2008
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- == Energy of a Signal== == Power of a Signal ==536 B (79 words) - 14:09, 4 September 2008
- [[Category:signal]] Given complex signal <math>f(t) = \cos(t) + j \sin(t)</math>, find <math>E_\infty</math> and <ma4 KB (734 words) - 14:54, 25 February 2015
- For a continuous-time signal <br> ...m_{T \to \infty} {\frac{E(\infty)}{2T}} = 0 ................ Finite-energy Signal</math><br>647 B (89 words) - 20:00, 4 September 2008
- Computation of Signal Energy and power. Source for definition Of Continuous Signal: Wikipedia.778 B (99 words) - 12:21, 5 September 2008
- == Signal ==1 KB (189 words) - 20:40, 4 September 2008
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- The formula for the energy of this signal is given by: The power of this signal is 0 because the energy of the signal is not <math>\infty</math>267 B (48 words) - 06:53, 5 September 2008
- Consider the signal747 B (114 words) - 13:19, 5 September 2008
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740 B (105 words) - 17:58, 5 September 2008
- The energy of a signal can by computed by the following Energy formula: on the other hand, power of a signal can be calculated by:574 B (92 words) - 17:37, 5 September 2008
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- '''Question:''' Compute the Fourier transform of the signal x(t) equal to: The Fourier Transform of a signal in Continuous Time is defined by:1 KB (188 words) - 10:09, 17 October 2008
- As seen below in the picture, a ct signal is converted to DT and then recovered using zero order interpolation.<br>409 B (76 words) - 12:12, 10 November 2008
- * [[CS-2: Signal Processing_Old Kiwi]]202 B (25 words) - 19:04, 9 March 2008
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- =GPS Signal Processing= ...iving further research and development. This research has led to improved signal processing and has led to the use of the Fast Fourier Transform.1 KB (248 words) - 10:07, 22 September 2009
- ...It is band-limited. This means that the Fourier transform of the original signal, also known as the spectrum, is 0 for |f| > B, where B is the bandwidth. ...l to the sampling period T, <math>{H_r}(f)</math>, to isolate the original signal.2 KB (436 words) - 18:51, 22 September 2009
- ==Audio Signal Filtering== ...ed to an electrical signal by a transducer, which then relays the "analog" signal to an A/D converter.5 KB (822 words) - 10:54, 21 September 2012
- [[Category:signal processing]] ''' [[ECE438| ECE438: Digital Signal Processing with Applications]]'''1 KB (184 words) - 18:33, 16 March 2015
- [[Category:signal]] keywords:signal energy, exercises1 KB (207 words) - 15:04, 25 February 2015
- [[Category:signal]] =Continuous-Time (Average) Signal Power=1 KB (220 words) - 09:49, 21 April 2015
- [[Category:signal]] [[Category:continuous-time signal]]4 KB (595 words) - 10:01, 21 April 2015
- Topic: Signal Energy and Power ...</math> and the power <math>P_\infty</math> of the following discrete-time signal2 KB (317 words) - 15:18, 26 November 2013
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737 B (95 words) - 05:25, 2 February 2011
- = [[:Category:Problem_solving|Practice Question]] on the Nyquist rate of a signal = Is the following signal band-limited? (Answer yes/no and justify your answer.)4 KB (666 words) - 09:29, 11 November 2011
- = [[:Category:Problem_solving|Practice Question]] on signal modulation = Let x(t) be a signal whose Fourier transform <math>{\mathcal X} (\omega) </math> satisfies2 KB (393 words) - 09:31, 11 November 2011
- = [[:Category:Problem_solving|Practice Question]] on signal modulation = Let x(t) be a signal whose Fourier transform <math>{\mathcal X} (\omega) </math> satisfies2 KB (400 words) - 09:31, 11 November 2011
- = Audio Signal Generating and Processing Project = :::In this case, the signal is preserved, but at a lower sampling frequency. If play at the original fr5 KB (820 words) - 06:19, 21 March 2013
- = Audio Signal Processing with Down-sampler and LPF Investigate = ...o song. The effect of the LPF is less noticeable compared with human voice signal.10 KB (1,707 words) - 09:44, 6 May 2012
- [[Category:Digital Signal Processing]] ...://www.projectrhea.org/learning/practice.php Practice Problems] on Digital Signal Processing6 KB (801 words) - 21:04, 19 April 2015
- [[Category:Audio Signal Generating and Processing Project]] =Audio Signal Generating and Processing Project, Previous method=6 KB (931 words) - 19:33, 15 November 2011
- #REDIRECT [[ECE438 digital signal processing course motivations]]65 B (7 words) - 05:25, 28 October 2013
- =Lab Wiki: [[2013_Fall_ECE_438_Boutin|ECE 438: Digital Signal Processing With Applications]], Fall 2013=2 KB (341 words) - 14:54, 14 August 2013
- [[Category:digital signal processing]] ''' [[ECE438| ECE438: Digital Signal Processing with Applications]]'''2 KB (319 words) - 09:50, 27 September 2013
Page text matches
- :[[ECE438|ECE438: "Digital Signal Processing with Applications"]]2 KB (209 words) - 12:07, 9 September 2022
- ...n evaluating the Region of Convergence (ROC) of the Laplace transform, the signal has a Fourier transform if:2 KB (268 words) - 11:14, 10 December 2008
- *[[ECE438|ECE438: "Digital Signal Processing with Applications]], the main page for this popular senior level ...tal_signal_processing_practice_problems_list|Practice problems on "Digital Signal Processing"]]6 KB (877 words) - 06:22, 21 March 2013
- ##[[Signal Energy and Power_(ECE301Summer2008asan)|Signal Energy and Power]] ...CT signal by its samples:_(ECE301Summer2008asan)| Representation of a CT signal by its samples]]7 KB (921 words) - 05:08, 21 October 2011
- The sampling theorem states that for a signal x(t) to be uniquely reconstructed, its X(jw) = 0 when |w| > wm, and the sam A signal can be recovered from sampling if4 KB (667 words) - 10:15, 21 November 2008
- Let x(t) be a BAND-LIMITED signal with X(w) = 0 for |w| > w_m.625 B (99 words) - 12:07, 8 November 2010
- ...--[[User:Asan|Asan]] 03:42, 14 June 2008 (EDT)(It is the system... not the signal)3 KB (534 words) - 10:16, 30 January 2011
- ...e. The transformation consists of a shift and time scaling. The resulting signal is shifted to the left by 5 and time scaled so the new times are divided by ...even and odd parts of a signal x[n]. x1[n] = (x[n] + x[-n])/2 is the even signal. It can be found by plotting x[n]/2 and x[-n]/2 then summing the two signa877 B (156 words) - 09:58, 21 November 2008
- (a) Derive the condition for which the discrete time complex exponetial signal x[n] is periodic.2 KB (270 words) - 09:59, 21 November 2008
- The unit impulse response of an LTI system is the CT signal1 KB (227 words) - 09:55, 30 January 2011
- The unit impulse response of an LTI system is the CT signal1 KB (222 words) - 09:57, 30 January 2011
- The unit impulse response of an LTI system is the CT signal409 B (61 words) - 09:59, 30 January 2011
- (a) The FT of <math>X(j\omega)</math> of a continuous-time signal x(t) is periodic (b) The FT of <math>X(e^{j\omega})</math> of a continuous-time signal x[n] is periodic4 KB (777 words) - 10:49, 21 November 2008
- .../math> of the signal x[n] is also periodic with period N. For the periodic signal x[n], find the values of <math>a_0,a_1,...,a_{N-1}.</math> Express your an 1)b)Evaluate the value of <math>(1/N)*\sum_{n=<N>}|x[n]|^2</math> for the signal x[n] given in part (a).4 KB (815 words) - 09:57, 21 November 2008
- [[Category:signal processing]] =Signal Sampling=1 KB (176 words) - 06:04, 16 September 2013
- *[[HKNQE_Communications_and_Signal_Processing|Communications and Signal Processing]]626 B (74 words) - 08:44, 3 December 2008
- = Communication, Networking, Image and Signal Processing (CNSIP) Research in ([[ECE]])= Purdue University has a rich and long history in communications and signal processing. For example, did you know the the following facts?3 KB (360 words) - 06:01, 25 June 2012
- :"A Signal-Processing Approach to Modeling Vision, and Applications" ...these results to image compression and quality assessment, as well as some signal processing problems (and their solutions) that emerged in applying the psyc5 KB (656 words) - 13:36, 4 May 2011
- <b>Periodic CT Signal:</b> ...es of t. The fundamental period is the smallest period of all periods of a signal (denoted by <math> T_0\ </math>).1 KB (206 words) - 15:58, 23 April 2013
- ...shift in the input signal results in an identical time shift in the output signal.4 KB (748 words) - 16:24, 23 April 2013
- ...ignal would, and writing all the transforms or "things" that happen to the signal using different variables, then we go back and substitute so it all works o3 KB (486 words) - 10:10, 8 December 2008
- A band-limited signal can be recovered by sampling if the sampling frequency <math> \omega_s </ma589 B (78 words) - 12:08, 8 December 2008
- This is an example of convolution done two ways on a fairly simple general signal.3 KB (549 words) - 09:37, 30 January 2011
- The command is ifft. It takes in a vector representing your signal and produces a vector of the fourier series coefficients. Two examples are The signal is represented by the graph below and is periodic for all time:5 KB (834 words) - 16:26, 23 April 2013
- and let <math> x(t)\ </math> denote the signal obtained by using <math> X(j\omega)\ </math> in the right hand side of Equa1 KB (227 words) - 10:54, 10 December 2008
- ...an then apply the 'effect' of the system to each individual impulse of the signal, sum them, and find the resulting output.2 KB (322 words) - 16:27, 23 April 2013
- ...hey are for periodic signals also. The formula for transforming a periodic signal is (I believe) the first one on the table. :: Fourier Transform is for all signal. It represents signals as an integral of complex exponentials.1 KB (186 words) - 16:25, 23 April 2013
- ...he Fourier Transform.... In particular, Fourier reasoned that an aperiodic signal can be viewed as a periodic singal with an infinite period." An example of ...nd the sound of the musical chord represented by these notes (the function/signal itself).3 KB (431 words) - 16:29, 23 April 2013
- ...sion for CT signals, and performing a summation for each dimension in a DT signal.2 KB (303 words) - 09:13, 12 December 2008
- ...pled signal that is band limited to about 20kHz, then we should sample the signal at twice that frequency.925 B (151 words) - 16:28, 23 April 2013
- The sampling theorem tells us that we can perfectly reconstruct a signal if the following two conditions are observed: # The signal has a finite bandwidth B. (meaning the signal is band limited)3 KB (591 words) - 16:24, 23 April 2013
- ...sampled greater than the Nyquist Rate in order to reconstruct the original signal. The effect of undersampling, or sampling at a rate below that of the Nyqui ...ponds to a frequency of .2 rev/sec. This frequency is the frequency of the signal. The small red dot is just an indicator on a part of the wheel to make it e3 KB (446 words) - 05:21, 18 September 2013
- ...ecause it does not specify from what the signal is being recreated. If the signal is for example not band-limited, it cannot be reconstructed at all. ...an the Nyquist rate in rare cases you are able to properly reconstruct the signal.4 KB (689 words) - 11:48, 12 December 2008
- Let <math> x(t)\ </math> be a BAND-LIMITED signal with <math> X(\omega) = 0\ </math> for <math> |\omega| > \omega_m\ </math>.739 B (108 words) - 11:43, 18 December 2008
- : <code>Plot(Y)</code> Plots vector Y (useful to visualize an audio signal). Plotting at different frequencies: ...ode>x=y ( 1 : N : length(y) );</code> will create a vector x, which is the signal Y at 1/N of its original frequency. (takes every N element of y and puts in725 B (116 words) - 12:10, 18 December 2008
- *[[ECE:CNSIP area| Communication, Networking, Signal and Image Processing (CNSIP) area (from ECE)]]493 B (74 words) - 10:24, 25 May 2009
- :[[2015_Spring_ECE_438_Ersoy|ECE438: "Digital SIgnal Processing", Prof. Ersoy]] :[[2014_Fall_ECE_438_Boutin|ECE438: "Digital SIgnal Processing"]]13 KB (1,570 words) - 12:53, 7 August 2018
- =ECE 438: Digital Signal Processing with Applications=558 B (80 words) - 08:55, 27 February 2009
- | align="right" style="padding-right: 1em;" | Wednesday || 01/14/09 || Signal types, characteristics, transformations || 1.1.1-1.1.3 || CT and DT signals6 KB (689 words) - 06:59, 2 August 2010
- *[[lecture1_ECE301Fall2008mboutin|Lecture 1]]: Intro; Example of DT signal (text) and system (enigma machine). *[[Lecture2_ECE301Fall2008mboutin|Lecture 2]]: Example of CT signal (sound); Creating sounds in Matlab; Example of linear system.5 KB (720 words) - 05:10, 16 September 2013
- I am trying to figure out how to compute the norm of the DT signal2 KB (396 words) - 15:53, 23 April 2013
- * A typical plan of study for a first semester Signal Processing Grad Student (MS or PhD) is: ECE600, ECE538, MA511 ==If you are a direct PhD student interested in the signal processing area==2 KB (308 words) - 12:06, 30 September 2009
- [[Category:signal processing]]865 B (78 words) - 05:37, 16 September 2013
- [[Category:signal processing]] 2) Digital Signal = a signal that can be represented by a sequence of 0's and 1's.3 KB (532 words) - 05:43, 16 September 2013
- *<math>\omega_m</math>: Maximum frequency in a band-limited signal (<math> = max(\{|w|\ :\ w \neq 0\})</math> ...hen the band-limited signal can be uniquely reconstructed from the sampled signal.2 KB (406 words) - 10:08, 12 November 2010
- [[Category:signal processing]] <li>Signal Characteristics</li>3 KB (508 words) - 05:43, 16 September 2013
- [[Category:signal processing]] <p>Comb operator multiplies a signal by an "impulse train".2 KB (408 words) - 05:43, 16 September 2013
- [[Category:signal processing]]2 KB (359 words) - 05:43, 16 September 2013
- *[[CT Time-averaged Power of a Signal over an infinite interval_ECE301Fall2008mboutin]] {{:CT Power of a Signal_8 KB (989 words) - 06:20, 5 February 2009
- ...is is an advanced capture, process and display technology which enables RF signal analysis never before possible. Featured capabilities, discussed and demons *Automatic RF signal identification967 B (123 words) - 11:47, 5 February 2009