| Applied Signal Processing: A Matlab(tm)-Based Proof of Concept 2009 Edition Contributor(s): Dutoit, Thierry (Author), Marques, Ferran (Author) |
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ISBN: 0387745343 ISBN-13: 9780387745343 Publisher: Springer OUR PRICE: $75.99 Product Type: Paperback - Other Formats Published: May 2009 Annotation: Engineering courses tend to be increasingly based on projects, for which ex-cathedra courses are used as introductions to theoretical foundations, the ultimate goal being to prepare students to use the right tools in the right way. This ?hands on? approach to engineering education is made easier for teaching Applied Signal Processing by the generalized use of MATLAB in universities all over the world. Being able to take advantage of the toolboxes provided by MATLAB, as well as by third parties, in the most efficient way, can be set as a major practical goal of courses on applied signal processing. And, in this perspective, one of the most important tasks of professors is to be able to propose motivating projects to their students, with a good balance between reinforcement and exploratory parts, on contemporary problems and using state-of-the-art solutions. Although signal processing professors have a deep understanding of signal processing theory and principles, they usually each specialize into a few (if not one) applied area. Image processing experts don?t often work on speech; speech experts seldom work on biomedical signals; biomedical specialists rarely solve telecommunications problems. As a result, applied signal processing courses and projects are often biased towards the teachers? most comfortable field (and the authors of the chapters of this volume are no exceptions). ?Hands On Applied Signal Processing? aims at changing this situation, by letting readers benefit from the teaching experience of experts in various applied signal processing fields, presented in a project-oriented framework. Each chapter exposes how to design a given signal processing system for solvinga 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. |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Electrical - Technology & Engineering | Electronics - Microelectronics |
| Dewey: 621.382 |
| LCCN: 2008939860 |
| Series: Signals and Communication Technology (Paperback) |
| Physical Information: 0.9" H x 6" W x 9.1" (1.55 lbs) 484 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |