Digital Signal Processing Using MATLAB (3rd Edition) by John G. Proakis, Vinay K. Ingle

By John G. Proakis, Vinay K. Ingle

EEAN: 2940043685537
ISBN-13: 9781111427375
ISBN-10: 1111427372

In this supplementary textual content, MATLAB is used as a computing instrument to discover conventional DSP subject matters and clear up difficulties to realize perception. This vastly expands the diversity and complexity of difficulties that scholars can successfully examine within the direction. considering the fact that DSP functions are basically algorithms carried out on a DSP processor or software program, a good volume of programming is needed. utilizing interactive software program resembling MATLAB makes it attainable to put extra emphasis on studying new and hard options than on programming algorithms. attention-grabbing useful examples are mentioned and necessary difficulties are explored.

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May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it. 5. 17) is almost a geometric series sum except that the term u(n−k) takes different values depending on n and k.

19) Copyright 2010 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it. 6 CASE iii In this case the impulse response h(n) partially overlaps the input x(n).

Function [x,n] = impseq(n0,n1,n2) % Generates x(n) = delta(n-n0); n1 <= n <= n2 % ---------------------------------------------% [x,n] = impseq(n0,n1,n2) % n = [n1:n2]; x = [(n-n0) == 0]; 2. Unit step sequence: u(n) = 1, n ≥ 0 = {. . , 0, 0, 1, 1, 1, . } 0, n < 0 ↑ Copyright 2010 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience.

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