Applied Signal Processing: A MATLABTM-Based Proof of Concept (Signals and Communication Technology (Paperback))
| Author | : | |
| Rating | : | 4.56 (644 Votes) |
| Asin | : | 0387745343 |
| Format Type | : | paperback |
| Number of Pages | : | 456 Pages |
| Publish Date | : | 2017-02-07 |
| Language | : | English |
DESCRIPTION:
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. 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 MATLAB code provided on the accompanying online files is the very heart of the material. Applied Signal Processing: A MATLAB-Based Proof of Concept is an ideal companion for most signal processing course books. Equations are only used for a precise description of the problem and its final solutions. 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 solutions are simple enough for readers with general signal processing
47 (2), October, 2009). Y. This mode of learning allows one to actually see the effects and transformation power of the algorithms … presented in the text. Upper-division undergraduate through professional collections." (J. Cheung, Choice, Vol. … Summing Up: Highly recommended. 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 theo
"The book I've been waiting for!" according to M. Walsh. This is an excellent book. The target audience is clearly signal processing engineers that want to learn more about applied speech, audio, image and video processing. The approach taken by the authors is clearly application driven, which is great for understanding complex systems such as hidden Markov models, or Markov random fields. The chapters are very progressive. For example in the chapter on automatic speech recognition, the authors focus on a simple example of a 6-word imaginary language cleverly chosen to show the importance of using th
He is the author of the widely acclaimed MBROLA high quality free speech synthesis project. He is now assistant professor at the FacultA(c) Polytechnique de Mons and consultant for AT&T Labs Research in Murray Hill, New Jersey, USA. Thierry Dutoit graduated as an electrical engineer and PhD from the FacultA(c) Polytechnique de Mons, Belgium, in 1988 and 1993, respectively.