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OverviewThis text presents a general survey of digital signal processing concepts, design methods, and implementation considerations, with an emphasis on digital filters. It is suitable as a textbook for senior undergraduate or first-year graduate courses in digital signal processing. While mathematically rigorous, the book stresses an understanding of digital filters and signal processing systems, with numerous realistic and relevant examples. Hence, practicing engineers and scientists should also find the book a useful reference. This edition contains a substantial amount of new material including, in particular, the addition of MATLAB exercises to deepen the students' understanding of basic DSP principles and increase their proficiency in the application of these principles. Other new features include: normalized frequency utilized in the DTFT, for example, X(ej); new computer generated drawings and MATLAB plots throughout the book; expanded coverage of Types I-IV linear-phase FIR filters; new material on power and doubly-complementary filters; a section on quadrature-mirror filters and their application in filter banks; a section on the design of maximally-flat FIR filters; a section on roundoff-noise reduction using error feedback. Full Product DetailsAuthor: Leland B. JacksonPublisher: Springer Imprint: Springer Edition: 3rd ed. 1996 Dimensions: Width: 17.80cm , Height: 2.80cm , Length: 25.40cm Weight: 2.650kg ISBN: 9780792395591ISBN 10: 079239559 Pages: 502 Publication Date: 30 September 1995 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Out of print, replaced by POD ![]() We will order this item for you from a manufatured on demand supplier. Table of ContentsPreface. 1: Introduction: Terminology and Motivation. 2: Discrete-Time Signals and Systems. 3: The z Transform. 4: Input/Output Relationships. 5: Discrete-Time Networks. 6: Sampling and Fourier Analysis. 7: Discrete Fourier Transform. 8: IIR Filter Design by Transformation. 9: FIR Filter Design Techniques. 10: Filter Design by Modeling. 11: Quantization Effects. 12: Digital Filter Implementation. 13: Filter and Systems Examples. Answers to Selected Problems. References. Index.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |