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- ##[[Signal Energy and Power_(ECE301Summer2008asan)|Signal Energy and Power]] ##[[Continuous-Time and Discrete-Time_(ECE301Summer2008asan)|Continuous-Time and Discrete-Time]]7 KB (921 words) - 06:08, 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 periodic4 KB (777 words) - 11:49, 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) - 10:57, 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) - 17:26, 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) - 17:29, 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) - 12:48, 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) - 06:43, 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) - 11:08, 12 November 2010
- [[Category:signal processing]] <li>Signal Characteristics</li>3 KB (508 words) - 06:43, 16 September 2013
- [[Category:signal processing]] <strong>Continuous-time:</strong> (a.k.a. Dirac delta function)<br/>2 KB (408 words) - 06:43, 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) - 07:20, 5 February 2009
- ...Fourier transform of x[n], which is the sampled signal of continuous time signal x(t) <br>546 B (93 words) - 20:27, 18 February 2009
- [[Category:signal processing]]769 B (105 words) - 06:44, 16 September 2013
- [[Category:signal processing]]2 KB (324 words) - 06:45, 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) - 11:40, 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) - 16:27, 3 December 2008
- == Periodic Signal == Notice, the signal is the same throughout each cycle.481 B (60 words) - 07:15, 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) - 07:20, 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) - 07:22, 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] f1 KB (192 words) - 07:28, 14 April 2010
