Digital Signal Processing With Matlab Examples Volume 2


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Digital Signal Processing with Matlab Examples, Volume 2


Digital Signal Processing with Matlab Examples, Volume 2

Author: Jose Maria Giron-Sierra

language: en

Publisher: Springer

Release Date: 2016-12-02


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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.

Digital Signal Processing Using MATLAB


Digital Signal Processing Using MATLAB

Author: Vinay K. Ingle

language: en

Publisher:

Release Date: 2012


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Digital Signal Processing with Matlab Examples, Volume 1


Digital Signal Processing with Matlab Examples, Volume 1

Author: Jose Maria Giron-Sierra

language: en

Publisher: Springer

Release Date: 2018-06-29


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This is the first 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 book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study. The code is embedded in the text, helping readers to put into practice the ideas and methods discussed. The book is divided into three parts, the first of which introduces readers to periodic and non-periodic signals. The second part is devoted to filtering, which is an important and commonly used application. The third part addresses more advanced topics, including the analysis of real-world non-stationary signals and data, e.g. structural fatigue, earthquakes, electro-encephalograms, birdsong, etc. The book’s last chapter focuses on modulation, an example of the intentional use of non-stationary signals.