Committee login






Small thumbnail

Reliability Investigation of LED Devices for Public Light Applications

Durability, Robustness and Reliability of Photonic Devices Set

Small thumbnail

Aerospace Actuators 2

Signal-by-Wire and Power-by-Wire

Small thumbnail

Flash Memory Integration

Performance and Energy Considerations

Small thumbnail

Mechanics of Aeronautical Solids, Materials and Structures

Small thumbnail

Engineering Investment Process

Making Value Creation Repeatable

Small thumbnail

Space Strategy

Small thumbnail

Distributed Systems

Concurrency and Consistency

Small thumbnail

Fatigue of Textile and Short Fiber Reinforced Composites

Durability and Ageing of Organic Composite Materials Set – Volume 1

Small thumbnail

Management of the Effects of Coastal Storms

Policy, Scientific and Historical Perspectives

Small thumbnail

Computational Color Science

Variational Retinex-like Methods

Small thumbnail

Digital Signal Processing Using Matlab®

Edited by André Quinquis, DGA, Brest, France

ISBN: 9781848210110

Publication Date: January 2008   Hardback   432 pp.

215 USD

Add to cart


Ebook Ebook


This book uses MATLAB® as a computing tool to explore traditional DSP topics and solve problems. This greatly expands the range and complexity of problems that can effectively be studied in signal processing. A large number of worked examples, computer simulations and applications are provided, along with theoretical aspects that are essential in order to gain a good understanding of the main topics. Practicing engineers will also find it useful as an introductory yet highly practical treatment of the subject.


1. Introduction.
2. Discrete-time signals.
3. Discrete-time random signals.
4. Statistical tests and high order moments.
5. Discrete Fourier transform of discrete signals.
6. Linear and invariant disctrete-time systems.
7. Infinite impulse response filters.
8. Finite impulse response filters.
9. Detection an estimation.
10. Power spectral density estimation.
11. Time-frequency analysis.
12. Parametrical time-frequency methods.
13. Supervised statistical classification.
14. Data compression.

About the Authors

André Quinquis taught and developed research activities in signal and image processing at the Naval Academy in Brest between 1989 and 1992. In 1992 he joined the Engineering School ENSIETA of Brest, where he held the positions of Senior Researcher and Scientific Director of ENSIETA. Since 2007, he has been senior expert at the French Ministry of Defence.
He is the author of 10 books and of more than 100 papers (international journals and conferences) in the area of signal processing applied for radar and sonar systems.


DownloadTable of Contents - PDF File - 142 Kb

DownloadIntroduction - PDF File - 795 Kb

Related Titles

0.03078 s.