In this problem we illustrate the concepts of sampling and decimation for discretetime signals. To this end

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In this problem we illustrate the concepts of sampling and decimation for discretetime signals. To this end consider a signal x(n) with Fourier transform X(ω) as in Figure.

(a) Sampling x(n) with a sampling period D = 2 results to the signal. Compute and sketch the signal xs(n) and its Fourier transform Xs(ω). Can we reconstruct x(n) from xs(n)? How?

(b) Decimating x(n) by a factor of D = 2 produces the signal

xd(n) = x(2n)                all n

Show that Xd(ω) = Xs(ω/2). Plot the signal xd(n) and its transform Xd(ω). Do we lose any information when we decimate the sample signal xs(n)?

x{п) Χίω) --2 -1 0 1 2 . -и о т л а (a) |x (п). (0. л 0, +2. +4,... = { х, (п) п+1, +3, +5, ...

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Digital Signal Processing

ISBN: ?978-0133737622

3rd Edition

Authors: Jonh G. Proakis, Dimitris G.Manolakis

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