This final year/postgraduate text for courses in digital filters or digital signal processing deals with the construction of algorithms that filter data into useful information. It starts with the basics and goes on to cover advanced topics such as recursive and non-recursive filters (including optimization techniques), wave digital filters and DFTs. A new chapter on the application of digital signal processing offers up-to-date techniques and there are new problems and examples throughout. A solutions manual is available (0-07-002122-8). Other features new to this second edition include chapters on quasi-Newton and minimax optimization algorithms for the design of recursive filters and equalizers, and efficient and robust algorithms for the design of nonrecursive filters and differentiators. HLP computer language is now replaced with Pascal.
Auflage
Sprache
Verlagsort
Verlagsgruppe
McGraw-Hill Education - Europe
Zielgruppe
Für höhere Schule und Studium
Editions-Typ
Illustrationen
Maße
Höhe: 230 mm
Breite: 173 mm
Gewicht
ISBN-13
978-0-07-002121-1 (9780070021211)
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Schweitzer Klassifikation
Elementary analysis; the z transform; the application of the z transform; realization; analog-filter approximations; continuous-time, sampled and discrete-time signals; approximations for recursive filters; recursive filters satisfying prescribed specifications; design of nonrecursive filters; random signals; effects of finite word length in digital filters; wave digital filters; the discrete Fourier transform; design of recursive filters using optimization methods; digital signal processing applications.
