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Then x(t) is uniquely recoverable.
 
Then x(t) is uniquely recoverable.
  
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Here is a block diagram of sampling and reconstruction using a LPF:
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[[File:BlockDSamp|block diagram of sampling]]
  
 
[[ 2018 Spring ECE 301 Boutin|Back to 2018 Spring ECE 301 Boutin]]
 
[[ 2018 Spring ECE 301 Boutin|Back to 2018 Spring ECE 301 Boutin]]

Revision as of 15:10, 30 April 2018


Explanation of Sampling Theorem

The sampling theorem:

1. for x(nT) to be equally spaced samples of x(t), while n=0, +1, -1, +2, -2, ...
2. x(t) is band limited.
  X($ \omega $) = 0 for $ |\omega|>\omega_m $
3. $  2\pi/T = \omega_s > 2\omega_m $

Then x(t) is uniquely recoverable.

Here is a block diagram of sampling and reconstruction using a LPF: block diagram of sampling

Back to 2018 Spring ECE 301 Boutin

Alumni Liaison

Ph.D. 2007, working on developing cool imaging technologies for digital cameras, camera phones, and video surveillance cameras.

Buyue Zhang