Digital Filters: Analysis, Design, and Signal Processing Applications
Series: ELECTRONICS;
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Product details:
- Edition number 2
- Publisher McGraw Hill
- Date of Publication 4 February 2018
- ISBN 9780071846035
- Binding Hardback
- No. of pages800 pages
- Size 238x193x39 mm
- Weight 1873 g
- Language English 0
Categories
Short description:
Fully updated coverage of digital filter design, analysis, and applications
Long description:
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
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
More
Table of Contents:
Chapter 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
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