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Digital Signal Processing with Matlab Examples, Volume 2

Autor Jose Maria Giron-Sierra
en Limba Engleză Hardback – 16 dec 2016
  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.

 
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Specificații

ISBN-13: 9789811025365
ISBN-10: 9811025363
Pagini: 956
Ilustrații: XXXIX, 913 p. 659 illus., 279 illus. in color.
Dimensiuni: 160 x 241 x 57 mm
Greutate: 1.58 kg
Ediția:1st edition 2017
Editura: Springer
Locul publicării:Singapore, Singapore

Cuprins

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.


Notă biografică

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.

Textul de pe ultima copertă

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.

 

Caracteristici

Offers a wealth of MATLAB programs for individual exploration Treats the theory succinctly and with a focus on practical applications Highlights recent developments in response to the demands of new digital technologies Includes supplementary material: sn.pub/extras