Applied Signal Processing
A MATLAB(TM)-Based Proof of Concept. Book + Online Access
(Sprache: Englisch)
Drawing on the teaching background of experts in various applied signal processing fields and presenting them in a project-oriented framework, this book provides fully commented MATLAB code for working proofs-of-concept, unlike other MATLAB-based textbooks.
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Produktinformationen zu „Applied Signal Processing “
Drawing on the teaching background of experts in various applied signal processing fields and presenting them in a project-oriented framework, this book provides fully commented MATLAB code for working proofs-of-concept, unlike other MATLAB-based textbooks.
Klappentext zu „Applied Signal Processing “
Applied Signal Processing: A MATLAB-Based Proof of Concept benefits readers by including the teaching background of experts in various applied signal processing fields and presenting them in a project-oriented framework. Unlike many other MATLAB-based textbooks which only use MATLAB to illustrate theoretical aspects, this book provides fully commented MATLAB code for working proofs-of-concept. The MATLAB code provided on the accompanying online files is the very heart of the material. In addition each chapter offers a functional introduction to the theory required to understand the code as well as a formatted presentation of the contents and outputs of the MATLAB code.Each chapter exposes how digital signal processing is applied for solving a real engineering problem used in a consumer product. The chapters are organized with a description of the problem in its applicative context and a functional review of the theory related to its solution appearing first. Equations are only used for a precise description of the problem and its final solutions. Then a step-by-step MATLAB-based proof of concept, with full code, graphs, and comments follows. The solutions are simple enough for readers with general signal processing background to understand and they use state-of-the-art signal processing principles. Applied Signal Processing: A MATLAB-Based Proof of Concept is an ideal companion for most signal processing course books. It can be used for preparing student labs and projects.
Inhaltsverzeichnis zu „Applied Signal Processing “
How is Speech Processed in a Cell Phone Conversation?.- How are Bits Played Back from and Audio CD?.- How is Sound Processed in a MP3 Player?.- How Does a Dictation Machine Recognize Continuous Speech?.- How Does an Audio Effects Processor Perform Pitch Shifting?.- How Can Marine Biologists Track Sperm Whales in the Oceans?.- How Could Music Contain Hidden Information?.- How are Digital Images Compressed in the Web?.- How Are Digital TV Programs Compressed to Allow Broadcasting?.- How Does Digital Cinema Compress Images?.- How Can Physicians Quantify Brain Degeneration?
Autoren-Porträt von Thierry Dutoit, Ferran Marques
Applied Signal Processing Using MATLAB presents a project-oriented framework for understanding signal processing theory. The book aims to allow readers to benefit from the teaching experience of experts in various applied signal processing fields by presenting material in a project-oriented framework. Each chapter exposes how to design a given signal processing system for solving a real engineering problem (as opposed to those handled in textbooks, which often address academic, theory-related problems). Chapter themes are chosen so as to naturally lead to the understanding of specific tools, while showing their practical use. The book includes coverage of speech, signals and image processing projects.
Bibliographische Angaben
- Autoren: Thierry Dutoit , Ferran Marques
- 2009, XXIV, 456 Seiten, Maße: 15,4 x 23,4 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 0387745343
- ISBN-13: 9780387745343
- Erscheinungsdatum: 15.05.2009
Sprache:
Englisch
Pressezitat
From the reviews: "In this book, Dutoit ... provide readers with practical application of the theory and working MATLAB code for the algorithms being presented, thus allowing them to actually learn the theory by experimenting with real data using the supplied code that is known to be correct and working. This mode of learning allows one to actually see the effects and transformation power of the algorithms ... presented in the text. ... Summing Up: Highly recommended. Upper-division undergraduate through professional collections." (J. Y. Cheung, Choice, Vol. 47 (2), October, 2009)
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