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Digital Filters Design for Signal and Image Processing
book

Digital Filters Design for Signal and Image Processing

by Mohamed Najim
October 2006
Intermediate to advanced
369 pages
8h 11m
English
Wiley
Content preview from Digital Filters Design for Signal and Image Processing

10.2. The Schur-Cohn criterion

In this section, we will present an algorithm that helps us learn, in a finite number of steps, if the following complex polynomial:

images

has all its zeros inside the unit disk; that is, in the subset:

images

For that, we introduce the polynomials images and P*(z) represented as follows:

images

obtained by conjugating3 the coefficients of P(z) without conjugating the variable and

images

obtained by conjugating and inversing the order of the coefficients of P(z). The polynomial P*(z) is then called the reciprocal polynomial of P(z).

EXAMPLE 10.4.- the polynomial P(z) = (2 + j)z3 + 3z admits, for reciprocal polynomial P*(z) = 3z2 + (2 − j).

COMMENT 10.1.- the reciprocal polynomials P*(z) and images satisfy the following equality:

images

Now, from the polynomial PN(z) = P(z), we construct a family of

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ISBN: 9781905209453Purchase book