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Signal Processing Lab Exercises

This document discusses a discrete system with a finite input sequence in the form of a rectangular pulse from n=0 to n=10, and an infinite impulse response of 0.9 to the power of n. It also mentions using correlation to identify periodicities in a physical signal that may be corrupted by random noise, and calculating cross correlation between a sequence and a noise corrupted and shifted version of the same sequence.

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Maryeama Jahan
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0% found this document useful (0 votes)
34 views9 pages

Signal Processing Lab Exercises

This document discusses a discrete system with a finite input sequence in the form of a rectangular pulse from n=0 to n=10, and an infinite impulse response of 0.9 to the power of n. It also mentions using correlation to identify periodicities in a physical signal that may be corrupted by random noise, and calculating cross correlation between a sequence and a noise corrupted and shifted version of the same sequence.

Uploaded by

Maryeama Jahan
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© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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LAB WORK: 01

Let us consider a discrete system whose input sequence (rectangular pulse) is of finite duration
given by: x(n) = u(n) − u(n − 10) while the impulse response is of infinite duration: h(n) = (0.9) n
u(n)
Figure:
LAB WORK: 02
Convolution of a speech signal with a noise signal
Figure:
LAB WORK: 01
Correlation is used to identify periodicities in an observed physical signal, which may be
corrupted by random interference.
Figure:
LAB WORK: 02
Cross correlation between a discrete sequence with noise corrupted and shifted sequence
Figure:

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