Digital Signal Processing with Matlab Examples, Volume 2
Decomposition, Recovery, Data-Based Actions
(Sprache: Englisch)
This is the second volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB...
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Klappentext zu „Digital Signal Processing with Matlab Examples, Volume 2 “
This is the second volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.
This second book focuses on recent developments in response to the demands of new digital technologies. It is divided into two parts: the first part includes four chapters on the decomposition and recovery of signals, with special emphasis on images. In turn, the second part includes three chapters and addresses important data-based actions, such as adaptive filtering, experimental modeling, and classification.
Inhaltsverzeichnis zu „Digital Signal Processing with Matlab Examples, Volume 2 “
Part IV- Decomposition and Recovery. Images: Filter Banks.- Wavelets.- Image and 2D Signal Processing.- Wavelet Variants for 2D Analysis.- Part V - Data-based Actions: Adaptive Filtering, Modelling, Analysis, and Classification.- Adaptive Filters and Observers.- Experimental Modelling.- Data Analysis and Classification.Autoren-Porträt von Jose Maria Giron-Sierra
Prof. Jose M. Giron-Sierra was born in Valladolid, Spain. He received his Ph.D. in Physics in 1978, Universidad Complutense de Madrid, Spain. Prof. Giron-Sierra wrote more than 160 publications in various international journals. He is IEEE, AIAA, and Eurosim member and belongs to two IFAC Technical Committees.
Bibliographische Angaben
- Autor: Jose Maria Giron-Sierra
- 2016, XXXIX, 913 Seiten, 279 farbige Abbildungen, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 9811025363
- ISBN-13: 9789811025365
- Erscheinungsdatum: 16.12.2016
Sprache:
Englisch
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