Table Of ContentChapter 1: Introduction to Digital Signal Processing Chapter 2: The Fourier Series and Fourier Transfer Chapter 3: The z Transform Chapter 4: Discrete-Time Systems Chapter 5: Application of the z Transform Chapter 6: The Sampling Process Chapter 7: The Discrete Fourier Transform Chapter 8: Realization of Digital Filters Chapter 9: Design of Nonrecursive (FIR) Filters Chapter 10: Approximations for Analog Filters Chapter 11: Design of Recursive (IIR) Filters Chapter 12: Recursive (IIR) Filters Satisfying Prescribed Specifications Chapter 13: Effects of Finite Word Length in Digital Filters Chapter 14: Design of Nonrecursive Filters Using Optimization Methods Chapter 15: Design of Recursive Filters Using Optimization Methods Chapter 16: Wave Digital Filters Chapter 17: State of the Art Applications Appendix A: Complex Analysis Appendix B: Random Signals Index
SynopsisPublisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Up-to-date digital filter design principles, techniques, and applications Written by a Life Fellow of the IEEE, this comprehensive textbook teaches digital filter design, realization, and implementation and provides detailed illustrations and real-world applications of digital filters to signal processing. Digital Filters: Analysis, Design, and Signal Processing Applications provides a solid foundation in the fundamentals and concepts of DSP and continues with state-of-the-art methodologies and algorithms for the design of digital filters. You will get clear explanations of key topics such as spectral analysis, discrete-time systems, and the sampling process. This hands-on resource is supported by a rich collection of online materials which include PDF presentations, detailed solutions of the end-of-chapter problems, MATLAB programs that can be used to analyze and design digital filters of professional quality, and also the author's DSP software D-Filter. Coverage includes: -Discrete-time systems -The Fourier series and transform -The Z transform -Application of transform theory to systems -The sampling process -The discrete Fourier transform -The window technique -Realization of digital filters -Design of recursive and nonrecursive filters -Approximations for analog filters -Recursive filters satisfying prescribed specifications -Effects of finite word length on digital filters -Design of recursive and nonrecursive filters using optimization methods -Wave digital filters -Signal processing applications, Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Up-to-date digital filter design principles, techniques, and applications Written by a Life Fellow of the IEEE, this comprehensive textbook teaches digital filter design, realization, and implementation and provides detailed illustrations and real-world applications of digital filters to signal processing. Digital Filters: Analysis, Design, and Signal Processing Applications provides a solid foundation in the fundamentals and concepts of DSP and continues with state-of-the-art methodologies and algorithms for the design of digital filters. You will get clear explanations of key topics such as spectral analysis, discrete-time systems, and the sampling process. This hands-on resource is supported by a rich collection of online materials which include PDF presentations, detailed solutions of the end-of-chapter problems, MATLAB programs that can be used to analyze and design digital filters of professional quality, and also the author's DSP software D-Filter. Coverage includes: *Discrete-time systems *The Fourier series and transform *The Z transform *Application of transform theory to systems *The sampling process *The discrete Fourier transform *The window technique *Realization of digital filters *Design of recursive and nonrecursive filters *Approximations for analog filters *Recursive filters satisfying prescribed specifications *Effects of finite word length on digital filters *Design of recursive and nonrecursive filters using optimization methods *Wave digital filters *Signal processing applications