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Key Features: This book comprehensively covers the undergraduate course on digital signal processing; computer usage is integrated into the text in the form of problem solving using MATLAB; solved examples and critical-thinking exercises and review questions enhance the reader?s comprehension of the concepts; overview of Signals and Systems concepts; comprehensive coverage of key topics, including Infinite Impulse Response Filters (IIR), Finite Impulse Response Filters (FIR), effects of finite word length in digital filters, and multirate digital signal processing; review of the essential mathematical concepts such as Fourier Analysis, Laplace Transforms and Z Transforms; a chapter devoted to Applications of Digital Signal Processing in Speech Processing, Image Processing and RADAR; packed with numerous solved examples (221) which expose readers to practical aspects of the subject and 576 review questions and practice exercises; a chapter on MATLAB featuring numerous examples illustrating its application to signal processing. Table of Content: 1. Classification of signals and systems 2. Fourier analysis of periodic and aperiodic continuous-time signals and systems 3. Applications of laplace transform to system analysis 4. z-transform 5. Linear time invariant systems 6. Discrete and fast fourier transforms 7. Finite impulse response (fir) filters 8. Infinite impulse response (iit) filters 9. Realisation of digital linear systems 10. Effects of finite word length in digital filters 11. Multirate digital signal processing 12. Spectral estimation 13. Adaptive filters 14. Applications of digital signal processing 15. MATLAB programs
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