Andreas Antoniou – författare

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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

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 preocessing. 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

Practical Optimization: Algorithms and Engineering Applications provides a hands-on treatment of the subject of optimization. A comprehensive set of problems and exercises makes the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Each half of the book contains a full semester’s worth of complementary yet stand-alone material. The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable for practitioners in the field.

Advancements in the efficiency of digital computers and the evolution of reliable software for numerical computation during the past three decades have led to a rapid growth in the theory, methods, and algorithms of numerical optimization. This body of knowledge has motivated widespread applications of optimization methods in many disciplines, e.g., engineering, business, and science, and has subsequently led to problem solutions that were considered intractable not too long ago.

This textbook provides a hands-on treatment of the subject of optimization. A comprehensive set of problems and exercises makes it suitable for use in one or two semesters of an advanced undergraduate course or a first-year graduate course. Each half of the book contains a full semester’s worth of complementary yet stand-alone material. The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable as a reference work for practitioners in the field.