Search results for "Continuous-time signal" - Rhea

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• Fourier series coefficients of a periodic square wave period two
  =Exercise: Compute the Fourier series coefficients of the following signal:= [[Recommended_exercise_Fourier_series_computation|More exercises on computing continuous-time Fourier series]]
  2 KB (324 words) - 08:08, 15 February 2011
• ECE438 Week5 Quiz Q56sol
  ...condition, the sampling frequency must be larger than the twice of maximum signal frequency, in order to avoid the aliasing when sampling. The frequency domain relationship betweeen a signal <math>x[n]</math> and its upsampled version <math>z[n]</math> can be shown
  3 KB (467 words) - 19:52, 20 September 2010
• Lecture13ECE438F10
  ...es, a low-pass filter could be applied to this upsampling so to obtain the signal
  1 KB (220 words) - 16:07, 22 September 2010
• ECE438 Week6 Quiz
  [[Category:digital signal processing]] <math>\text{ Sample a continuous signal x(t)=sin(}\omega t)\text{ with period of T, }</math>
  2 KB (373 words) - 10:41, 11 November 2011
• ECE438 Week6 Quiz Q1sol
  The highest frequency of the continuous signal is <math>f=\frac{\omega}{2\pi}</math>
  370 B (55 words) - 12:20, 29 September 2010
• Fourier series coefficients student 1
  =Exercise: Compute the Fourier series coefficients of the following periodic signal:= ...ary to state the period in the question, as one can figure it out from the signal itself. </span> --[[User:Mboutin|Mboutin]] 08:15, 29 September 2010 (UTC)
  6 KB (999 words) - 13:00, 16 September 2013
• 2010 Fall ECE 438 Boutin/ECE438Mid1FormulaSheet Work
  *Fourier series of a continuous-time signal x(t) periodic with period T *Fourier series coefficients of a continuous-time signal x(t) periodic with period T
  2 KB (292 words) - 17:13, 30 September 2010
• 2010 Fall ECE 438 Boutin/ECE438Mid1FormulaSheet Work wrk
  *Fourier series of a continuous-time signal x(t) periodic with period T *Fourier series coefficients of a continuous-time signal x(t) periodic with period T
  1 KB (241 words) - 06:50, 30 September 2010
• CT DT Fourier transform ECE438F10
  ...transforms one complex-valued function of a real variable into another. In signal processing, the domain of the original function is typically in the time do
  4 KB (746 words) - 08:47, 11 November 2013
• ECE438 HW7 Solution
  Definition: let x[n] be a DT signal with Period N. Then, ...efficients of continuous periodic function x[n]? <br> The DFT of a sampled signal x[n] of length N is directly proportional to the Fourier series coefficient
  19 KB (3,208 words) - 11:23, 30 October 2011
• Signal energy CT
  [[Category:signal]] keywords:signal energy, exercises
  1 KB (207 words) - 16:04, 25 February 2015
• Signal power CT
  [[Category:signal]] =Continuous-Time (Average) Signal Power=
  1 KB (220 words) - 10:49, 21 April 2015
• Lecture35ECE438F10
  ...ar filtering view of the STFT. Then we obtained a formula to reconstruct a signal from its STFT. This concluded the material on speech processing. We then be
  933 B (122 words) - 09:32, 11 November 2011
• Info multiplication property FT w
  =About the Multiplication Property of the continuous-time Fourier transform= The multiplication property of the continuous-time Fourier transform can be stated as follows:
  751 B (105 words) - 16:17, 30 November 2010
• 2011 Spring ECE 301 Boutin
  ...[Complex Exponential and Sinusoidal Amplitude Modulation|videos explaining signal modulation]]! ...problems to practice CT convlution, and two problems for practicing basic signal's properties. -pm
  18 KB (2,485 words) - 10:36, 11 November 2011
• Magnitude complex CT signals ECE301S11
  Compute the Magnitude of the following continuous-time signals ...of the result. (This is basically what you are doing in a), but since the signal is real, it is equal to its conjugate.) A quick note though on the symbol <
  2 KB (292 words) - 16:17, 26 November 2013
• Signal power energy exercise CT ECE301S11
  [[Category:signal]] [[Category:continuous-time signal]]
  4 KB (595 words) - 11:01, 21 April 2015
• Discussion HW9 ECE301 Spring2011
  ...\omega\right| > \omega_m </math>. Can one recover the signal x(t) from the signal <math class="inline"> y(t)=x(t) p(t-3) </math>, where ...omega)\right| > \omega_m </math>. Can one recover the signal x(t) from the signal <math class="inline"> y(t)=x(t) p(t-3) </math>, where
  900 B (158 words) - 16:06, 2 April 2011
• ECE301 signals systems formulas
  *[[SignalMetricsFormula|Signal Metrics Definitions and Formulas]] *[[CT Fourier Transform (frequency in radians per time unit)|Continuous-time Fourier Transform Pairs and Properties]] (function of <span class="texhtml"
  890 B (101 words) - 17:30, 21 April 2013
• Fourier series coefficients pulse train CT ECE301S11
  ...olving|Practice Question]] on Computing the Fourier Series continuous-time signal= Obtain the Fourier series the CT signal
  4 KB (594 words) - 12:59, 16 September 2013
• Signals and systems practice problems list
  *[[CT_Fourier_series_practice_problems_list|Problems on continuous-time Fourier series]] *[[CT_Fourier_transform_practice_problems_list|Problems on continuous-time Fourier transform]]
  12 KB (1,768 words) - 10:25, 22 January 2018
• Fourier transform etu CT ECE301S11
  ...ractice Question]] on Computing the Fourier Transform of a Continuous-time Signal = Compute the Fourier transform of the signal
  1 KB (197 words) - 10:25, 11 November 2011
• Lecture18ECE301S11
  Today we obtained the formula for the Fourier transform of a periodic signal. We found that we cannot compute the Fourier transform of such signals usi We finished the lecture by discussing a few properties of the continuous-time Fourier transform.
  2 KB (215 words) - 14:12, 28 February 2011
• Fourier transform cosine CT ECE301S11
  ...ractice Question]] on Computing the Fourier Transform of a Continuous-time Signal = Compute the Fourier transform of the signal
  2 KB (276 words) - 10:25, 11 November 2011
• Fourier transform cosine no2 CT ECE301S11
  ...ractice Question]] on Computing the Fourier Transform of a Continuous-time Signal = Compute the Fourier transform of the signal
  2 KB (355 words) - 10:26, 11 November 2011
• Fourier transform periodic triangular pulse train CT ECE301S11
  ...ractice Question]] on Computing the Fourier Transform of a Continuous-time Signal = Compute the Fourier transform of the signal
  853 B (122 words) - 10:26, 11 November 2011
• Fourier transform periodic rectangular pulse train CT ECE301S11
  ...ractice Question]] on Computing the Fourier Transform of a Continuous-time Signal = Compute the Fourier transform of the signal
  1 KB (196 words) - 10:26, 11 November 2011
• HW5 ECE301 Spring2011 Prof Boutin
  Compute the Fourier transform of the continuous-time signal <math>x(t)=e^{-3 |t|}</math>. (Use the definition of the Fourier transform, Compute the Fourier transform of the signal
  4 KB (633 words) - 12:31, 2 March 2011
• Lecture21ECE301S11
  ...irst part of today's lecture, we finished discussing the properties of the continuous-time Fourier transform. We then used these properties to obtain a simple express ...of shifted copies (shifted by <math>2 \pi k</math>, with k integer)of our signal.
  2 KB (346 words) - 14:13, 28 February 2011
• Problem on time shifting and time scaling property of Fourier transform ECE301S11Boutin
  = [[:Category:Problem_solving|Practice Question]] on the Properties of the Continuous-time Fourier Transform = Let x(t) be a continuous time signal with Fourier transform <math class="inline">{\mathcal X} (\omega) </math>.
  2 KB (401 words) - 10:27, 11 November 2011
• HW6 ECE301 Spring2011 Prof Boutin
  .../span> for the computation of the Fourier transform of the continuous-time signal. Check every step of the computation and remove point for any mistakes. Tak ...r:red"> 15 pts </span> for the computation of the Fourier transform of the signal. Check every step of the computation and remove point for any mistakes. Tak
  7 KB (1,161 words) - 18:50, 4 March 2011
• ECE301inBME
  ...(t). &nbsp;The physiological system being modeled, h(t), will convert this signal into output, y(t). &nbsp;For example, the blood clotting mechanism can be i ...rresponding to adenine, guanine, cytosine, and thymine.) Furthermore, this signal must be broken into distinct genes and decoded. &nbsp;These genes can be ma
  17 KB (2,368 words) - 10:53, 6 May 2012
• HW9 ECE301 Spring2011 Prof Boutin
  The signal <math class="inline"> x(t)= e^{j \pi t }\frac{\sin (\pi t)}{t} </math> is s ...omega \right| > \omega_m </math>. Can one recover the signal x(t) from the signal <math class="inline"> y(t)=x(t) p(t-3) </math>, where
  3 KB (451 words) - 06:40, 1 April 2011
• 2011 Fall ECE 438 Boutin
  [[Category:signal processing]] = [[ECE438|ECE 438]]: Digital Signal Processing with Applications =
  10 KB (1,359 words) - 03:50, 31 August 2013
• Lecture Schedule ECE438Fall11 Boutin
  [[Category:signal processing]] Note: PM refers to the official course book, Digital Signal Processing, 3rd edition, J.G. Proakis and D.G. Manolakis. Prentice Hall, 19
  9 KB (1,341 words) - 03:52, 31 August 2013
• Practice CTFT computation rect and sinc ECE438F11
  ...tal_signal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' Topic: Continuous-time Fourier transform computation (in terms of frequency f in hertz)
  7 KB (1,302 words) - 09:45, 11 November 2013
• Practice CTFT from omega to f step function
  ...tal_signal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' Topic: Continuous-time Fourier transform: from omega to f
  7 KB (1,143 words) - 09:44, 11 November 2013
• Practice CTFT complex exponential ECE438F11
  ...tal_signal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' Topic: Continuous-time Fourier transform of a complex exponential
  3 KB (610 words) - 09:47, 11 November 2013
• Lecture13ECE438F11
  ...ture 13, we discussed the possibility of an extra credit project involving signal resampling and filtering. ...p to figure out how to transform this signal into the (higher resolution) signal
  2 KB (243 words) - 06:23, 11 September 2013
• Hw3 ECE438F11
  [[Category:signal processing]] Pick 5 different continuous-time signals x(t) (at least three of which should be band-limited, and at least
  2 KB (320 words) - 03:54, 31 August 2013
• 2011 Fall ECE 301 Pollak
  ...computation|A collective page to practice computing Fourier series of a CT signal]] ...putation_DT|A collective page to practice computing Fourier series of a DT signal]]
  2 KB (212 words) - 05:44, 26 September 2011
• Practice problem finding band limited signals ECE438F11
  ...tal_signal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' Give examples of continuous-time signals that are band-limited. (Justify your claim that they are band-limit
  2 KB (326 words) - 12:38, 26 November 2013
• CT and DT Signals and Systems
  '''Signal''' ...is a function, so when we say a continuous time signal or a discrete time signal we really mean continuous time functions and discrete time functions.
  3 KB (516 words) - 17:03, 2 December 2018
• Lecture33ECE438F11
  [[Category:signal processing]]
  872 B (107 words) - 06:31, 11 September 2013
• Obtain CSFT complex exponential
  ...tal_signal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' ...n the exam, you could use the second approach if you were given a table of continuous-time fourier transform in which the Fourier transform of an exponential is given
  3 KB (576 words) - 12:57, 26 November 2013
• Compute CSFT of 2D rect function ECE438F11
  ...tal_signal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
  3 KB (487 words) - 12:57, 26 November 2013
• Compute CSFT of 2D sinc function ECE438F11
  ...tal_signal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]'''
  4 KB (678 words) - 12:58, 26 November 2013
• Lecture34ECE438F11
  [[Category:signal processing]]
  2 KB (196 words) - 06:32, 11 September 2013
• Compute DSFT product two step functions ECE438F11
  ...tal_signal_processing_practice_problems_list|Practice Question on "Digital Signal Processing"]]''' Compute the discrete-space Fourier transform of the following signal:
  3 KB (473 words) - 12:59, 26 November 2013
• Digital signal processing practice problems list
  [[Category:Digital Signal Processing]] ...://www.projectrhea.org/learning/practice.php Practice Problems] on Digital Signal Processing
  6 KB (801 words) - 22:04, 19 April 2015
• Lecture35ECE438F11
  [[Category:digital signal processing]] [[Category:signal processing]]
  2 KB (301 words) - 06:32, 11 September 2013
• ECE538
  = [[ECE]] 538: Digital Signal Processing I = *[[SignalMetricsFormula|Signal Metrics Definitions and Formulas]]
  1 KB (152 words) - 12:17, 24 February 2015
• ECE PhD QE CNSIP 2004 Problem1
  Communication, Networking, Signal and Image Processing (CS) ...that <math class="inline">\mathbf{X}\left(t\right)</math> is a zero-mean, continuous-time, Gaussian white noise process with autocorrelation function <math class="in
  5 KB (735 words) - 01:17, 10 March 2015
• ECE PhD QE CNSIP Jan 2002 Problem1
  Communication, Networking, Signal and Image Processing (CS)
  4 KB (643 words) - 11:16, 10 March 2015
• ECE PhD QE CNSIP Jan 2006 Problem1
  Communication, Networking, Signal and Image Processing (CS)
  4 KB (572 words) - 10:24, 10 March 2015
• ECE PhD QE CNSIP Jan 2004 Problem1
  Communication, Networking, Signal and Image Processing (CS) Let <math class="inline">\mathbf{X}\left(t\right)</math> be a real continuous-time Gaussian random process. Show that its probabilistic behavior is completely
  5 KB (748 words) - 01:01, 10 March 2015
• ECE-QE CS1-2011
  Communication, Networking, Signal and Image Processing (CS) ...0"><span style="font-size: 19px;"><math>\color{blue} \text{Show that if a continuous-time Gaussian random process } \mathbf{X}(t) \text{ is wide-sense stationary, it
  4 KB (547 words) - 16:40, 30 March 2015
• ECE-QE CS5-2011
  Communication, Networking, Signal and Image Processing (CS) \text{Let } F(\mu,\nu) \text{ be the continuous-time Fourier transform of } f(x,y) \text{ given by}
  4 KB (665 words) - 10:25, 13 September 2013
• ECE-QE CS1-2011 solusion-2
  Communication, Networking, Signal and Image Processing (CS) ...000"><span style="font-size: 19px;"><math>\color{blue}\text{Show that if a continuous-time Gaussian random process } \mathbf{X}(t) \text{ is wide-sense stationary, it
  6 KB (932 words) - 10:30, 13 September 2013
• ECE-QE CS5-2011 solusion-2
  Communication, Networking, Signal and Image Processing (CS) \text{Let } F(\mu,\nu) \text{ be the continuous-time Fourier transform of } f(x,y) \text{ given by}
  17 KB (2,783 words) - 01:51, 31 March 2015
• 2012 ECE 301 Dr. Love
  *[[SignalMetricsFormula|Signal Metrics Definitions and Formulas]] *[[CT Fourier Transform (frequency in radians per time unit)|Continuous-time Fourier Transform Pairs and Properties]] (function of <span class="texhtml"
  2 KB (236 words) - 11:24, 21 September 2012
• Accelerometer
  To measure the worst case time delay from accelerometer signal input to orientation angle output at a macro scale (ie not by counting asse ...S. Smith, "DSP Software," ''The Scientist and Engineer's Guide to Digital Signal Processing''. <http://www.dspguide.com/ch4.htm>
  8 KB (1,176 words) - 15:15, 1 May 2016
• 2013 Spring ECE 301 Krogmeier
  **[[SignalMetricsFormula|Signal Metrics Definitions and Formulas]] **[[CT_Fourier_Transform_(frequency_in_radians_per_time_unit)|Continuous-time Fourier Transform Pairs and Properties]] (function of <span class="texhtml"
  6 KB (799 words) - 10:10, 15 May 2013
• ECE301 Spring2013 EC1
  ...) = e^{-2}</math> at n=2, and so on. But because we have a constant input signal that effectively serves as a delta function at each time step, another impu ''<center>time-shifted continuous-time impulse responses due to a step function. (theoretically there should be an
  6 KB (991 words) - 15:18, 1 May 2016
• ECE301 Bonus 2 Li Pang Mo
  ...domain. It’s the output of In a LTI system when presented with a impulse signal input δ(t). In a LTI systems, impulse response is also equivalent to green
  2 KB (322 words) - 23:38, 10 March 2013
• Lecture41 blog ECE302S13 Boutin
  ...hat the mean of the output random signal is equal to the mean of the input signal multiplied by the frequency response of the system evaluated at f=0. We als Note that we are now focusing only on continuous-time random processes for lack of time.
  3 KB (390 words) - 07:17, 24 April 2013
• ECE637 discrete parameter signals and systems discrete transforms S13 mhossain
  ::↳ Eigen-Signal Analysis and Examples ...T is for continuous time signals. Let <math>x(n)</math> be a discrete time signal. Then, its DTFT, <math>X(e^{j\omega})</math> is given by <br/>
  10 KB (1,726 words) - 07:26, 26 February 2014
• Lecture Schedule ECE438Fall13 Boutin
  [[Category:digital signal processing]] [[Category:signal processing]]
  9 KB (1,353 words) - 09:04, 11 November 2013
• 2013 Fall ECE 544 Krogmeier
  **[[SignalMetricsFormula|Signal Metrics Definitions and Formulas]] **[[CT_Fourier_Transform_(frequency_in_radians_per_time_unit)|Continuous-time Fourier Transform Pairs and Properties]] (function of <span class="texhtml"
  4 KB (480 words) - 18:57, 10 December 2013
• Lecture2ECE438F13
  [[Category:signal processing]] ...in terms of <math>\omega</math>, which you have seen in [[ECE301]], to the continuous-time Fourier transform in terms of f. We then saw a few important properties of
  3 KB (505 words) - 06:56, 2 September 2013
• Student projects
  *[[Audio_Signal_Filtering|Audio Signal Filtering]]
  3 KB (389 words) - 18:10, 23 February 2015
• CT Fourier transform practice problems list
  on continuous-time Fourier transform ==Collectively solved problems on continuous-time Fourier transform==
  7 KB (966 words) - 18:17, 23 February 2015
• CT Fourier series practice problems list
  on continuous-time Fourier series ==Collectively solved problems on continuous-time Fourier series==
  7 KB (992 words) - 18:16, 23 February 2015
• HW5ECE438F13
  ...x(t) be a continuous-time signal and let y[n]=x(nT) be a sampling of that signal with period T>0. We would like to interpolate the samples (i.e., "connect t ...imited interpolation of the samples (i.e., an expression for a continuous signal z(t) in terms of the samples y[n]). (Do not simply write down the formula;
  2 KB (362 words) - 13:59, 26 September 2013
• ECE438 digital signal processing formulas
  [[Category:signal processing]] ''' [[ECE438| ECE438: Digital Signal Processing with Applications]]'''
  1,002 B (119 words) - 05:58, 28 October 2013
• ECE438 digital signal processing learning material
  [[Category:signal processing]] ''' [[ECE438| ECE438: Digital Signal Processing with Applications]]'''
  4 KB (471 words) - 19:34, 9 February 2015
• Lecture33ECE438F13
  [[Category:signal processing]] *[[2D_rect|2D rect signal]]
  2 KB (309 words) - 12:13, 7 November 2013
• Lecture34ECE438F13
  [[Category:signal processing]] *[[2D_rect|2D rect signal]]
  2 KB (274 words) - 07:11, 11 November 2013
• ECE-QE CS1-2012
  Communication, Networking, Signal and Image Processing (CS)
  3 KB (449 words) - 21:36, 5 August 2018
• ECE-QE CS1-2012 solusion-1
  <font size="4">Communication, Networking, Signal and Image Processing (CS)</font>
  6 KB (995 words) - 09:21, 15 August 2014
• 2016 Summer ECE 301 Shenk
  ** Be able to calculate the Fourier series coefficients of a period CT signal (DT Fourier series will NOT be on the exam). (3.28a(subparts abc), 3.22, 3. ...the frequency response of a system, find the FS coefficients of the output signal. (3.13, 3.14, Quiz 3)
  6 KB (765 words) - 13:35, 4 August 2016
• ECE438 Lab Fall 2014
  =Lab Wiki: [[2014_Fall_ECE_438_Boutin|ECE 438: Digital Signal Processing With Applications]], Fall 2014=
  2 KB (380 words) - 08:18, 2 December 2014
• Lecture Schedule ECE438Fall14 Boutin
  [[Category:digital signal processing]] [[Category:signal processing]]
  9 KB (1,320 words) - 04:46, 11 September 2014
• Lecture2ECE438F14
  [[Category:signal processing]] ...in terms of <math>\omega</math>, which you have seen in [[ECE301]], to the continuous-time Fourier transform in terms of f. We then saw a few important properties of
  3 KB (393 words) - 06:37, 27 August 2014
• Slecture rep comb ECE438 Xiaozhe
  [[Category:signal processing]] ...led'. But this process is a little different from sampling. The continuous signal will become discrete after sampling while it will still be continuous after
  5 KB (768 words) - 18:51, 16 March 2015
• Slecture rep comb ECE438 Xiaozhe review
  ...nderstand the relation between comb vs original signal and rep vs original signal.
  7 KB (1,226 words) - 05:30, 15 October 2014
• HW3ECE438F14
  ...x(t) be a continuous-time signal and let y[n]=x(nT) be a sampling of that signal with period T>0. We would like to interpolate the samples (i.e., "connect t ...imited interpolation of the samples (i.e., an expression for a continuous signal z(t) in terms of the samples y[n]). (Do not simply write down the formula;
  3 KB (462 words) - 09:43, 18 September 2014
• HW3ECE438F14 Soln
  ...x(t) be a continuous-time signal and let y[n]=x(nT) be a sampling of that signal with period T>0. We would like to interpolate the samples (i.e., "connect t ...imited interpolation of the samples (i.e., an expression for a continuous signal z(t) in terms of the samples y[n]). (Do not simply write down the formula;
  7 KB (1,178 words) - 20:16, 18 December 2014
• Discrete-time Fourier transform Slecture by Fabian Faes
  [[Category:signal processing]] The discrete time fourier transform (DTFT) of a finite energy aperiodic signal x[n] can be given by the equation listed below. IT is a representation in t
  5 KB (862 words) - 20:02, 16 March 2015
• Dtft sampling slecture srh
  [[Category:signal processing]] ...g this cosine with period T (frequency <math>f_{s}=1/T</math>, the sampled signal <math>x[n]</math> can be written as <math>x[n]=cos(\frac{2 \pi f n}{T})</ma
  5 KB (801 words) - 20:04, 16 March 2015
• Nyquist Michael Hayashi ECE438 slecture
  [[Category:signal processing]] ...nly be reconstructed perfectly from its sampling <math>x_s(t)</math>if the continuous-time Fourier Transform (CTFT) of <math>x(t)</math> is zero for all magnitudes of
  10 KB (1,650 words) - 19:04, 16 March 2015
• Slecture Relation in frequency Botao Chen
  [[Category:signal processing]] ...cy domain view of the relationship between a signal and a sampling of that signal
  4 KB (732 words) - 19:07, 16 March 2015
• Slecture Topic 7 ECE438
  [[Category:signal processing]] ...cy domain view of the relationship between a signal and a sampling of that signal
  5 KB (852 words) - 09:58, 14 March 2015
• Slecture Topic 7
  ...cy domain view of the relationship between a signal and a sampling of that signal </font> ...ship between a signal, and a sampling of that signal. Essentially, given a signal x(t), we are going to take a look at the similarities and differences in X(
  4 KB (599 words) - 09:58, 14 March 2015
• Text slecture
  #Derivation of DTFT&nbsp;of downsampled signal<br> ...ure provides definition of downsampling, derives DTFT of&nbsp; downsampled signal and demonstrates it in a frequency domain. Also, it explains process of dec
  7 KB (1,035 words) - 19:07, 16 March 2015
• Frequency-Domain-View-of-Downsampling-Slecture-David-Klouda
  ...to eliminate the possibility of aliasing and distorting the reconstructed signal. Begin with x(t) as a continuous time signal with <math>x_1[n]= x(T_1*n)</math> being its discrete time sampling.
  4 KB (566 words) - 09:59, 14 March 2015
• Frequency domain relation Botao Chen ECE438 slecture review
  ...cy domain view of the relationship between a signal and a sampling of that signal </font> ...f original signal x(t), sampled signal&nbsp; x_s(t) and discrete signal x_d[n]. Graphs in frequency domain&nbsp; help to understand this
  4 KB (621 words) - 05:40, 15 October 2014
• ECE438 Lab Fall 2015
  =Lab Wiki: [[2015_Fall_ECE_438_Boutin|ECE 438: Digital Signal Processing With Applications]], Fall 2015=
  2 KB (303 words) - 13:45, 5 October 2015
• Lecture Schedule ECE438Fall15 Boutin
  [[Category:digital signal processing]] [[Category:signal processing]]
  10 KB (1,356 words) - 13:19, 19 October 2015
• ECE438 Lab Spring 2015
  =Lab Wiki: [[2015_Spring_ECE_438_Ersoy|ECE 438: Digital Signal Processing With Applications]], Spring 2015=
  2 KB (384 words) - 11:44, 21 April 2015