About this book
This is a project-oriented laboratory book with online supplementary files focused on digital signal processing (DSP) for students, instructors and professionals. The authors provide eleven large and detailed projects which take the reader through the essentials of signal processing applications. Included are MATLAB codes which are fully commented on for developing working proofs of concepts. The accompanying online material together with the text directly integrates theory into practice.
The eleven projects include speech coding for cell phones, understanding brain scan imaging, how MP3 players compress the data rate of audio CDs, embedding private information in music without detection, and much more.
Applied Signal Processing: A MATLAB™-Based Proof of Concept allows readers to benefit from the experience and expertise of professionals, researchers, and instructors in a variety of applied signal processing related fields, presented in a project framework. It is ideal for lecture and laboratory courses, and the subject matter is compatible for use along with most standard textbooks.
- Book Title Applied Signal Processing
- Book Subtitle A MATLAB™-Based Proof of Concept
- DOI https://doi.org/10.1007/978-0-387-74535-0
- Copyright Information Springer-Verlag US 2009
- Publisher Name Springer, Boston, MA
- eBook Packages Engineering Engineering (R0)
- Softcover ISBN 978-0-387-74534-3
- eBook ISBN 978-0-387-74535-0
- Edition Number 1
- Number of Pages XXIV, 456
- Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
Communications Engineering, Networks
Signal, Image and Speech Processing
Electronics and Microelectronics, Instrumentation
- Buy this book on publisher's site
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)