• ##[[Signal Energy and Power_(ECE301Summer2008asan)|Signal Energy and Power]] ##[[Continuous-Time and Discrete-Time_(ECE301Summer2008asan)|Continuous-Time and Discrete-Time]]
    7 KB (921 words) - 05:08, 21 October 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 periodic
    4 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
  • 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
  • ...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
  • ...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
  • [[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]] <strong>Continuous-time:</strong> (a.k.a. Dirac delta function)<br/>
    2 KB (408 words) - 05:43, 16 September 2013
  • == Continuous-time domain == *[[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
  • ...Fourier transform of x[n], which is the sampled signal of continuous time signal x(t) <br>
    546 B (93 words) - 19:27, 18 February 2009
  • [[Category:signal processing]]
    769 B (105 words) - 05:44, 16 September 2013
  • [[Category:signal processing]]
    2 KB (324 words) - 05:45, 16 September 2013
  • Note: PM refers to the official course book, Digital Signal Processing, 3rd edition, J.G. Proakis and D.G. Manolakis. ...due.edu/~bouman/ece438/lecture/module_1/1.1_signals/1.1.1_signal_types.pdf Signal Types]
    8 KB (1,226 words) - 10:40, 1 May 2009
  • == Continuous Signal == Continuous signal is a signal that varies with time, and can be represented as a function of time, x(t).
    2 KB (311 words) - 15:27, 3 December 2008
  • == Periodic Signal == Notice, the signal is the same throughout each cycle.
    481 B (60 words) - 06:15, 14 April 2010
  • A discrete time signal is periodic if there exists T > 0 such that x(t + T) = x(t) A continuous time signal is periodic if there exists some integer N > 0 such that x[n + N] = x[n]
    1 KB (205 words) - 06:20, 14 April 2010
  • A continuous time signal is periodic if there exists a value <math> T </math> such that <math> x(t + A discrete time signal is periodic if there exists a value <math> N </math> such that <math> X[n +
    1 KB (169 words) - 06:22, 14 April 2010
  • A continuous time signal x(t) is periodic if there exists T such that x(t + T) = x(t) for all t. <br A discrete time signal x[n] is periodic if there exists some integer N such that x[n + N] = x[n] f
    1 KB (192 words) - 06:28, 14 April 2010
  • A Continuous Time signal is said to be periodic if there exists <math>\ T > 0</math> such that <math A Discrete Time signal is said to be periodic if there exists <math>\ N > 0</math> (where N is an
    1 KB (221 words) - 11:21, 5 September 2008
  • == Periodic Signal Definition == *For a Continuous-time signal
    1 KB (209 words) - 08:49, 5 September 2008
  • 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
  • == For a Continuous Time Signal==
    788 B (127 words) - 11:34, 5 September 2008
  • A periodic signal is one that for a given real number "a": ===Periodic Signal===
    1 KB (195 words) - 06:20, 14 April 2010
  • A signal is periodic if there exists some T>0 such that: A signal is NOT periodic if the converse is true, there DOESN'T exists some T>0 such
    688 B (106 words) - 06:08, 14 April 2010
  • ==Periodic Signal== A continuous time (CT) signal is periodic if it there exists some T such that x(t+T)=x(t) for all t.
    811 B (148 words) - 12:12, 5 September 2008
  • ==Periodic Signal== to prove a CT signal is continuous we must prove that there exists a value T such that x(t) = x(
    388 B (84 words) - 12:37, 5 September 2008
  • '''Changing a Periodic Continuous Time Signal to a Non-Periodic Discrete Time Signal''' ...nsider the continuous time signal <math>x(t)=sin(t)</math>. Plotting this signal yields a smooth waveform that repeats itself with period <math>T=2\pi</math
    3 KB (536 words) - 10:07, 10 September 2008
  • == Continuous to discrete time signal== I used the signal <math>y = cos(n)\,</math> as the signal of my graph
    1 KB (196 words) - 19:31, 10 September 2008
  • === Periodic Continuous Time Signal === ...y people used in Homework 1 for their example of a periodic function. The signal repeats itself at intervals of <math> 2\pi </math>.
    1 KB (196 words) - 10:07, 10 September 2008
  • == CT periodic signal == An example of a periodic signal in continuous time is:
    1 KB (227 words) - 16:24, 10 September 2008
  • I chose to use the CT (continuous time)periodic signal: y(t) = cos(t). The signal can be expressed as both periodic and non-periodic in DT (discrete time).
    809 B (142 words) - 16:35, 10 September 2008
  • A system is called time invariant if for any input signal x(t)(x[n]) and for any t0 belongs to R, the response to the shifted inputX( ...= 10 x(t-t0)where as a system is called time variant when we find an input signal for which the condition of time invariance is violated.
    2 KB (379 words) - 17:38, 10 September 2008
  • ...ework 1 were boring (including mine) so I thought I'd broaden the periodic signal pool. I chose the CT signal: <math>x(t) = |2*cos(.5*t)|</math> . A graph of this signal in continuous time is shown below.
    1 KB (207 words) - 16:25, 11 September 2008
  • <b>Changing a Periodic Continuous Time Signal to a Non-Periodic Discrete Time Signal</b> The signal I chose for this part can be found [[HW1.4 Wei Jian Chan - Periodic and Non
    1 KB (186 words) - 15:07, 11 September 2008
  • 1.This is a sine function of period 2. Function is sin(pi*t). Continuous Signal. 2. '''Periodic DT Signal'''This is the discrete signal of the same function in 1 with sampling time of 0.075. I got the diagram on
    642 B (86 words) - 09:23, 12 September 2008
  • A system is called "'''time invariant'''" if for any input signal x(t) in continuous time or x[n] in discrete time and for any time <math>t_0 A system is called "'''time variant'''" if for any input signal x(t) in continuous time or x[n] in discrete time and for any time <math>t_0
    1 KB (193 words) - 17:59, 18 September 2008
  • == Example of Computation of Fourier series of a CT SIGNAL == ==The Signal==
    2 KB (384 words) - 09:56, 16 September 2013
  • ==Response to a Signal from Question 1== I will use my signal from Question 1.
    2 KB (344 words) - 12:40, 26 September 2008
  • == Example of Computation of Fourier series of a CT SIGNAL == The function y(t) in this example is the periodic continuous-time signal cos(t) such that
    1 KB (195 words) - 10:07, 16 September 2013
  • A continuous-time Linear Time-Invariant (LTI) system defined for the purpose of this page wil where v(t) is an input signal dependent on the parameter of time.
    1 KB (233 words) - 16:43, 26 September 2008
  • == Example of Computation of Fourier transform of a CT SIGNAL == Let the signal x(t) be equal to:
    1 KB (191 words) - 11:29, 16 September 2013
  • Let the signal <math>X(\omega)</math> be equal to: The Inverse Fourier Transform of a signal in Continuous Time is:
    1,011 B (164 words) - 11:46, 16 September 2013
  • The response to the input signal <math>z^n</math> is <math>H(z)z^n</math>, giving
    680 B (127 words) - 02:59, 15 October 2008
  • '''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
  • ...Fourier transform exists if the signal is absolutely integrable or if the signal has a finite number of discontinuities within any finite interval. (See Pag :This is useful for signals that fail to satisfy the previous properties of a signal that is guaranteed a Fourier Transform.
    3 KB (465 words) - 13:38, 24 October 2008
  • What is it? Sampling is a process of measuring a CT signal x(t) at some specific values of time t. ...ample a continuous time signal x(t) at point t-1, t-2 and t-3. The sampled signal can represented by the formula <math>y[n] = x(nT)\,</math>
    2 KB (367 words) - 10:27, 7 November 2008
  • ==Reconstructing a signal from its samples using Interpolation== ...an important procedure we know as interpolation we can obtain the original signal of the function.
    851 B (151 words) - 10:38, 8 November 2008

View (previous 50 | next 50) (20 | 50 | 100 | 250 | 500)

Alumni Liaison

To all math majors: "Mathematics is a wonderfully rich subject."

Dr. Paul Garrett