The book is not an exposition on digital signal processing (DSP) but rather a treatise on digital filters. The material and coverage is comprehensive, presented in a consistent that first develops topics and subtopics in terms it their purpose, relationship to other core ideas, theoretical and conceptual framework, and finally instruction in the implementation of digital filter devices. Each major study is supported by Matlab-enabled activities and examples, with each Chapter culminating in a comprehensive design case study.
"synopsis" may belong to another edition of this title.
FRED J. TAYLOR is co-founder and Chairman of the Board of The Athena Group. He is also Professor of Electrical Engineering and Computer and Information Science at the University of Florida. The author of ten books and holder of four patents, Dr. Taylor serves as a consultant to government agencies, industries, and Boards of Higher Education as well as the National Research Council.
Solution implementations for digital filter design and analysis using MATLAB
A professional engineer charged with designing digital filters for sophisticated electronic devices needs more than design theory to get the job done. It is also essential to have practical guidance in how to characterize a digital filter, choose among a vast number of filter design options available in MATLAB and other software, make proper design choices, and enhance a computer-generated design into the optimal filter for a target application. In addition, it is important to develop skills that make it possible to take full advantage of MATLAB's implementation support.
Digital Filters delivers both the theoretical and practical knowledge needed to design, implement, and analyze digital filters using MATLAB. It covers:
Sampling, data acquisition, data conversion and quantization, and transforms
Finite impulse response (FIR) filter attributes, types, special cases, and implementation
Infinite impulse response (IIR) filter attributes, types, special cases, and implementation
State variables as an IIR architectural description language
Multi-rate digital filter systems properties and case studies
Each topic in Digital Filters is supported with numerous examples, many involving the use of MATLAB. The MATLAB scripts used to generate these examples and graphics are available from an accompanying website. These scripts can be easily copied and pasted into MATLAB's Command Window and re-parameterized to reflect specific digital filter applications and needs.
Solution implementations for digital filter design and analysis using MATLAB
A professional engineer charged with designing digital filters for sophisticated electronic devices needs more than design theory to get the job done. It is also essential to have practical guidance in how to characterize a digital filter, choose among a vast number of filter design options available in MATLAB and other software, make proper design choices, and enhance a computer-generated design into the optimal filter for a target application. In addition, it is important to develop skills that make it possible to take full advantage of MATLAB's implementation support.
Digital Filters delivers both the theoretical and practical knowledge needed to design, implement, and analyze digital filters using MATLAB. It covers:
Sampling, data acquisition, data conversion and quantization, and transforms
Finite impulse response (FIR) filter attributes, types, special cases, and implementation
Infinite impulse response (IIR) filter attributes, types, special cases, and implementation
State variables as an IIR architectural description language
Multi-rate digital filter systems properties and case studies
Each topic in Digital Filters is supported with numerous examples, many involving the use of MATLAB. The MATLAB scripts used to generate these examples and graphics are available from an accompanying website. These scripts can be easily copied and pasted into MATLAB's Command Window and re-parameterized to reflect specific digital filter applications and needs.
"About this title" may belong to another edition of this title.
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Hardcover. Condition: new. Hardcover. The book is not an exposition on digital signal processing (DSP) but rather a treatise on digital filters. The material and coverage is comprehensive, presented in a consistent that first develops topics and subtopics in terms it their purpose, relationship to other core ideas, theoretical and conceptual framework, and finally instruction in the implementation of digital filter devices. Each major study is supported by Matlab-enabled activities and examples, with each Chapter culminating in a comprehensive design case study. A digital filter is used to rectify and clarify the digital signal in order to improve its quality. Even a common cell phone uses a digital signal processor to digitize incoming/outgoing analog signals, and a digital filter to improve signal quality. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780470770399
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Hardcover. Condition: new. Hardcover. The book is not an exposition on digital signal processing (DSP) but rather a treatise on digital filters. The material and coverage is comprehensive, presented in a consistent that first develops topics and subtopics in terms it their purpose, relationship to other core ideas, theoretical and conceptual framework, and finally instruction in the implementation of digital filter devices. Each major study is supported by Matlab-enabled activities and examples, with each Chapter culminating in a comprehensive design case study. A digital filter is used to rectify and clarify the digital signal in order to improve its quality. Even a common cell phone uses a digital signal processor to digitize incoming/outgoing analog signals, and a digital filter to improve signal quality. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780470770399
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Condition: New. A digital filter is used to rectify and clarify the digital signal in order to improve its quality. Even a common cell phone uses a digital signal processor to digitize incoming/outgoing analog signals, and a digital filter to improve signal quality. Series: IEEE Series on Digital & Mobile Communication. Num Pages: 312 pages, Illustrations. BIC Classification: TJFC. Category: (P) Professional & Vocational. Dimension: 237 x 164 x 21. Weight in Grams: 600. . 2011. 1st Edition. Hardcover. . . . . Seller Inventory # V9780470770399
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