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OverviewDigital signal processing (DSP) is used in a wide range of applications including voice processing, image processing, digital communications, the transfer of data over the internet, and image and data compression. Engineers who develop DSP applications today, and in the future, need to understand the fundamental theories and mathematical algorithms, and will need to address implementation issues like mapping algorithms to hardware, computational efficiency, and the effects of finite precision arithmetic.Alexander covers all these topics at a level appropriate for senior undergraduates or first year graduate students, making this text the ideal bridge between the theory and analytical procedures that form the basis for modern DSP, and practical implementation. It covers fundamental theories and analytical procedures that form the basis of modern DSP. It shows practical implementation of DSP in software and hardware. It includes Matlab for design and implementation of signal processing algorithms and related discrete time systems. It bridges the gap between reference texts and the knowledge needed to implement DSP applications in software or hardware. Full Product DetailsAuthor: Winser AlexanderPublisher: Elsevier Science Publishing Co Inc Imprint: Academic Press Inc ISBN: 9780123747426ISBN 10: 0123747422 Pages: 750 Publication Date: 01 September 2010 Audience: College/higher education , Tertiary & Higher Education Format: Hardback Publisher's Status: Unknown Availability: Awaiting stock Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |