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Digital Signal Processing with Matlab Examples, Volume 2 [electronic resource] : Decomposition, Recovery, Data-Based Actions / by Jose Maria Giron-Sierra.

By: Giron-Sierra, Jose Maria [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Signals and Communication Technology: Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XXXIX, 913 p. 659 illus., 279 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811025372.Subject(s): Signal processing | Computer vision | Signal, Speech and Image Processing | Computer VisionAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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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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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