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Digital Filters: Analysis, Design, and Signal Processing Applications

by Andreas Antoniou
Save 17% Save 17%
Current price ₹16,100.00
Original price ₹19,320.00
Original price ₹19,320.00
Original price ₹19,320.00
(-17%)
₹16,100.00
Current price ₹16,100.00

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Book cover type: Hardcover
  • ISBN13: 9780071846035
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: McGraw-Hill Companies
  • Publisher Imprint: McGraw-Hill Companies
  • Publication Date:
  • Pages: 976
  • Original Price: USD 153.0
  • Language: English
  • Edition: Revised
  • Item Weight: 1874 grams
  • BISAC Subject(s): Electrical

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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






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