Digital signal processing is an essential element of key communications technologies such as mobile phones and the Internet. This text covers all the major topics in digital signal processing (DSP) design and analysis, supported by MatLab examples and other modelling techniques. The authors explain clearly and concisely why and how to use digital signal processing systems; how to approximate a desired transfer function characteristic using polynomials and ratio of polynomials; why an appropriate mapping of a transfer function onto a suitable structure is important for practical applications; and how to analyze, represent, and explore the tradeoff between time and frequency representation of signals.
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Editorial Reviews
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"An ideal textbook for students, it will also be a useful reference for engineers working on the development of signal processing systems...An excellent authorship and an equally excellent editorial content and planning of the subject matter have helped to make the book an ideal acquisition for readers passionately devoted to the task of equipping themselves with tools that will enable them to design and analyze most digital signal processing systems." Current Engineering Practice
"This textbook covers, clearly and concisely, the core material of a DSP course..." Times Higher Education Supplement
"This single, comprehensive volume covers all the major topics..." Poptronics
"This textbook covers, clearly and concisely, the core material of a DSP course..." Times Higher Education Supplement
"This single, comprehensive volume covers all the major topics..." Poptronics
Book Description
Digital signal processing lies at the heart of the communications revolution and is an essential element of key technologies such as mobile phones and the Internet. This book covers all the major topics in digital signal processing (DSP) design and analysis, supported by MatLab examples and other modelling techniques. An ideal textbook for students, it will also be a useful reference for engineers working on the development of signal processing systems.
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5.0 out of 5 stars
Excellent reference for students, researchers, and practitioner engineers,
This review is from: Digital Signal Processing: System Analysis and Design (Hardcover)
This is an excellent reference for those looking for a solid engineering-based approach to DSP theory and practice. The learners will benefit from many aspects of this book, such as the "Do-it-yourself" sections at the end of each chapter explaining how to put into practice some of the most important DSP concepts.
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First Sentence:
Digital signal processing is the discipline that studies the rules governing the behavior of discrete signals, as well as the systems used to process them. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
frequency response masking approach, function wfilters, response masking filter, normalized magnitude responses, canonic direct form, interpolated filter, antisymmetric impulse response, elliptic bandpass filter, resulting magnitude response, parallel adaptor, passband detail, antisymmetric sequences, reduced arithmetic complexity, ripple margin, distributed arithmetic implementation, ideal magnitude response, analysis highpass, overflow nonlinearity, wave digital filters, masking filters, series adaptor, error spectrum shaping, overflow limit cycles, minimax filter, stopband energy Key Phrases - Capitalized Phrases (CAPs): (learn more)
Coefficient Section, Repeat Exercise, Texas Instruments, Motorola Inc, Repeat Example New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Digital signal processing is the discipline that studies the rules governing the behavior of discrete signals, as well as the systems used to process them. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
frequency response masking approach, function wfilters, response masking filter, normalized magnitude responses, canonic direct form, interpolated filter, antisymmetric impulse response, elliptic bandpass filter, resulting magnitude response, parallel adaptor, passband detail, antisymmetric sequences, reduced arithmetic complexity, ripple margin, distributed arithmetic implementation, ideal magnitude response, analysis highpass, overflow nonlinearity, wave digital filters, masking filters, series adaptor, error spectrum shaping, overflow limit cycles, minimax filter, stopband energy Key Phrases - Capitalized Phrases (CAPs): (learn more)
Coefficient Section, Repeat Exercise, Texas Instruments, Motorola Inc, Repeat Example New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 47
books:
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1
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cites this book:
- Digital Signal Processing by Sanjit Mitra in Back Matter (1), Back Matter (2), and Back Matter (3)
- Digital Signal Processing. (IEEE Press Selected Reprint Series) by Lawrence R. Rabiner in Back Matter (1), Back Matter (2), and Back Matter (3)
- Digital Signal Processing (Addison-Wesley Series in Electrical Engineering) by R. A. Roberts in Back Matter (1), Back Matter (2), and Back Matter (3)
- Digital Filters by Andreas Antoniou on page 593, and Back Matter
- Digital Signal Processing by Abraham Peled in Back Matter (1), and Back Matter (2)
See all 47 books this book cites
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