Search results for "Discrete-time signal" - Rhea

Create the page "Discrete-time signal" on this wiki! See also the search results found.

• Lecture5ECE438F15
  [[Category:signal processing]] ...ing of that signal. To answer that question, we first computed the CTFT of signal and the DTFT of its sampling.
  3 KB (487 words) - 11:09, 2 September 2015
• HW2ECE38F15
  ...is to understand the relationship between a signal and a sampling of that signal, viewed in the frequency domain. For simplicity we are focusing on pure fre '''1)''' Pick a signal of the form x(t)=sin(something) representing a note of the middle scale of
  2 KB (395 words) - 12:13, 7 September 2015
• HW4ECE38F15
  ...be accomplished in an equivalent fashion by processing a sampling of that signal. ...t off frequency of 800Hz and a gain of 7. Let's call this desired filtered signal y(t).
  3 KB (499 words) - 16:04, 22 September 2015
• HW4ECE438F15 Soln
  ...t off frequency of 800Hz and a gain of 7. Let's call this desired filtered signal y(t). ...such a way that a band-limited interpolation of the processed (output) DT signal would be the same as y(t)? Answer yes/no. If you answered yes, explain how.
  3 KB (475 words) - 15:23, 20 October 2015
• 2015 Fall ECE 438 Boutin Constant Q Transform Robert Schwieterman
  ...ies. This makes the the CQT apt for musical applications, <br />where the signal will be composed of primarily logarithmically spaced frequencies instead of
  4 KB (655 words) - 23:26, 22 November 2015
• FFT- BFSK case study ECE438F15
  <center><font size= 4>Digital Signal Processing With Application</font size> ...value) of two different transmitted frequencies component in the received signal.
  4 KB (546 words) - 19:34, 29 November 2015
• 2015 Fall ECE 438 Boutin Digital Signal Processing With Application
  <center><font size= 4>Digital Signal Processing With Application</font size> ...value) of two different transmitted frequencies component in the received signal.
  3 KB (417 words) - 04:38, 29 November 2015
• 2015 Fall ECE 438 Boutin A visual explanation of aliasing and repetition with the DTFT Erik Swan
  ...''aliasing'' that occurs when converting a continuous signal to a discrete signal via sampling. ...rmation applied to an aperiodic, discrete signal in order to represent the signal in terms of it's various spectral (frequency) components. It is defined as:
  12 KB (2,004 words) - 20:37, 2 December 2015
• ECE301Su2016 Notes
  ** Moving from sampling a CT signal to a discrete time sequence.
  2 KB (358 words) - 21:09, 1 August 2016
• Lecture Schedule ECE438Fall16 Boutin
  [[Category:digital signal processing]] [[Category:signal processing]]
  10 KB (1,357 words) - 17:02, 14 September 2016
• ECE438 Lab Fall 2016
  =Lab Wiki: [[2016_Fall_ECE_438_Boutin|ECE 438: Digital Signal Processing With Applications]], Fall 2016=
  2 KB (301 words) - 14:05, 26 September 2016
• HW3ECE438F16
  ...to to understand the relationship between a signal and a sampling of that signal, viewed in the frequency domain. This time, we are looking at signals beyon Consider the signal <math>x(t)=4 \text{sinc } ( \frac{t-3}{5} ).</math>
  3 KB (460 words) - 09:11, 7 September 2016
• The Z-transform
  ...The z-transform is a very useful and important technique, used in areas of signal processing, system design and analysis and control theory. The formula used to convert a discrete time signal x[n] to X[z] is as follows:
  10 KB (1,800 words) - 10:41, 27 November 2016
• HW10ECE438F16sln
  ...s this imply regarding the difference equation representing the system (in discrete-time)? ...e DTFT of the digital recording looks like the CTFT of the original analog signal, with the amplitude rescaled (multiplied) by a factor <math>\frac{1}{T}=5,0
  7 KB (1,236 words) - 17:19, 29 November 2016
• Lecture Schedule ECE438Spring17 Boutin
  [[Category:digital signal processing]] [[Category:signal processing]]
  10 KB (1,357 words) - 09:45, 8 January 2017
• ECE438 Lab Spring 2017
  =Lab Wiki: [[2017_Spring_ECE_438_Boutin|ECE 438: Digital Signal Processing With Applications]], Spring 2017=
  2 KB (325 words) - 18:20, 30 March 2017
• HW4ECE438S17
  :b) understand the two different signal reconstruction methods we saw in class. ...ignal. Assuming that the highest frequency in the electroelectrocardiogram signal are at 2200 Hz, what criteria would you use to select the sampling frequen
  4 KB (658 words) - 14:50, 1 February 2017
• Mock up Final Exam
  3. A continuous time signal is such that <math> \chi(f) </math> is 0 when |f| > 3 KHz. You would like a ...mple exists with a sampling rate of 9000 samples/sec. Can you process this signal to make a band limited interpolation? If no, explain why. If yes, explain h
  7 KB (1,194 words) - 19:21, 24 April 2017
• The Laurent Series in DSP
  ...region of convergence and translating a discrete signal into a continuous signal relate directly to the Laurent Series. ...like the Taylor Series, it builds a continuous function out of a discrete signal. This is the main way that the Laurent Series is related to DSP: its abilit
  6 KB (931 words) - 23:40, 23 April 2017
• QE637 sol2013
  Communication, Networking, Signal and Image Processing (CS) Consider the 2D discrete space signal&nbsp;<span class="texhtml">''x''(''m'',''n'') with the DSFT of&nbsp;<span c
  5 KB (755 words) - 20:27, 2 May 2017
• QE637 sol2013 Q1
  <font size="4"> Communication Networks Signal and Image processing (CS) </font> Consider the 2D discrete space signal&nbsp;<span class="texhtml">''x''(''m'',''n'') with the DSFT of&nbsp;<span c
  6 KB (1,023 words) - 21:03, 2 May 2017
• ECE438 Lab Fall 2017
  =Lab Wiki: [[2017_Fall_ECE_438_Boutin|ECE 438: Digital Signal Processing With Applications]], Fall 2017=
  3 KB (418 words) - 21:57, 7 January 2018
• Characteristic Analysis of Simply Distortion Pedal
  ...d op-amps), and I got curious about how they works in processing the music signal from a electric guitar. So I looked up wikipedia on how distortion works as ...gnal goes through one or more pedals to create different distortion to the signal. In this case, I am using a BOSS DS-1 distortion pedal.
  5 KB (752 words) - 16:44, 2 December 2017
• Signal power energy exercise DT ECE301S18
  Topic: Signal Energy and Power ...</math> and the power <math>P_\infty</math> of the following discrete-time signal
  2 KB (263 words) - 11:13, 22 January 2018
• Discrete Time Fourior Transfrom Properties and Proofs
  == '''<big> Discrete-Time Fourier Transform Properties with Proofs''' </big>''' == ...1}{2\pi}\chi(\omega)*\gamma (\omega)^{}_{}</math> || Recall for a periodic signal of period T <math> x(t)y(t) = \int_{T}^{ }x(\tau)y(t-\tau)d\tau </math><br
  7 KB (1,166 words) - 13:20, 26 March 2018
• Signals, Systems, and Biomedical Engineering
  Biomedical signal processing aims at extracting significant information from physiological si ...sease, and earlier detection of both heart attacks and strokes. Biomedical signal processing is most useful in the critical care setting due to patient data
  12 KB (1,702 words) - 20:48, 9 April 2018
• Use of Fourier Transforms in MP3 Audio Compression
  ● Part 1 divides the audio signal into smaller pieces, these are called frames. An MDCT filter is then perfor ...t would cause a problem during the reconstruction of the sample. The final signal is given by:
  5 KB (752 words) - 17:40, 2 December 2018
• Use of FFT in MATLAB
  ...quires Nlog(N). DFT is not the same as DTFT. Both start with discrete-time signal, but DFT produces a discrete frequency domain representation while the DTFT ...analysis. A common use of FFT’s is to find the frequency component of a signal buried in a noisy time domain. Given the MATLAB code bellow, a graph will b
  3 KB (555 words) - 22:02, 2 December 2018
• QE2010 CS-2 ECE538
  Communicates & Signal Process (CS) Question 2: Signal Processing
  8 KB (1,474 words) - 16:37, 24 February 2019
• 2019 Spring ECE301 Boutin Fourier series coefficients
  \text{1) } x(t) = sin(6 \pi t), \text{ the frequency of this signal is } \omega_{o} = 6\pi. ...= 2 + cos(6 \pi t) - \frac{1}{2} sin(3 \pi t),\text{ the frequency of this signal is } \omega_{o} = 3\pi.
  5 KB (951 words) - 21:55, 30 April 2019
• ECE438 Lab Fall 2019
  =Lab wiki for ECE 438:Digital Signal Processing With Applications, Fall 2019=
  4 KB (572 words) - 11:16, 3 December 2019
• Lecture Schedule ECE438Fall2019 Boutin
  [[Category:digital signal processing]] [[Category:signal processing]]
  10 KB (1,356 words) - 18:52, 20 August 2019
• Ece438f19bhelfrechtbonus
  ...ignal directly, this is not possible in reality since storing a real-world signal would require an infinite amount of memory. Consequently, all signals are s With this information, we can express the sampling of a CT signal <math>x(t)</math> in terms of its sampling period T:
  16 KB (2,611 words) - 14:11, 12 November 2019
• Applications of Convolution: Simple Image Blurring
  The convolution forms the backbone of signal processing, but what are some direct applications of it? In this page, we w
  7 KB (1,006 words) - 22:10, 22 December 2019
• Introduction to Nyquist’s Theorem
  ...eights of the peaks are called amplitudes. In signal processing, there are discrete-time signals and continuous-time signals. When time is viewed as a discrete vari ...ractical cases, one can use Nyquist's Theorem to ensure that all essential signal information is collected, while not wasting effort measuring with too much
  2 KB (375 words) - 21:03, 6 December 2020
• Definition of Nyquist’s Theorem
  ...period must be at most half the length of the period of oscillation of the signal. But why is this the case?<br /> ...requires use of a concept known as the Fourier Transform, which converts a signal or other sinusoid from the time domain (that is, the graph is a graph of am
  4 KB (707 words) - 23:06, 6 December 2020