Digital signal processing with Matlab examples . Volume 2, Decomposition, recovery, data-based actions / Jose Maria Giron-Sierra.
By: Giron-Sierra, Jose Maria,, autor
Material type:
E-bookSeries: (Signals and communication technology, 1860-4862).Publisher: Singapore : Springer, 2017Description: 1 recurso en línea (xxxix, 913 páginas) : ilustraciones (algunas a color).ISBN: 9789811025365; 9789811025372; 9811025363; 9811025371.Other title: Decomposition, recovery, data-based actions.Subject: MATLAB | MATLAB | Procesadores digitales de señal
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TK5102.9 G576 2017 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.20022736 |
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| TK5102.9 G454 2018 EB Information Loss in Deterministic Signal Processing Systems | TK5102.9 G576 2016 EB Digital signal processing with Matlab examples Volume 1, Signals and data, filtering, non-stationary signals, modulation | TK5102.9 G576 2017 EB Digital signal processing with Matlab examples Volume 3, Model-based actions and sparse representation | TK5102.9 G576 2017 EB Digital signal processing with Matlab examples Volume 2, Decomposition, recovery, data-based actions | TK5102.9 G675 2016 EB Digital Signal Processing for Wireless Communication using Matlab | TK5102.9 G675 2018 EB Multi-Disciplinary Digital Signal Processing A Functional Approach Using Matlab | TK5102.9 J444 2015 EB Writing Virtual Environments for Software Visualization |
SpringerLink Springer Engineering eBooks 2017 English+International
Incluye referencias bibliográficas e índice
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.
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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