Signal Processing Applications Using Multidimensional Polynomial Splines

Nonfiction, Science & Nature, Technology, Telecommunications, Electronics
Cover of the book Signal Processing Applications Using Multidimensional Polynomial Splines by Dhananjay Singh, Madhusudan Singh, Zaynidinov Hakimjon, Springer Singapore
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Author: Dhananjay Singh, Madhusudan Singh, Zaynidinov Hakimjon ISBN: 9789811322396
Publisher: Springer Singapore Publication: December 7, 2018
Imprint: Springer Language: English
Author: Dhananjay Singh, Madhusudan Singh, Zaynidinov Hakimjon
ISBN: 9789811322396
Publisher: Springer Singapore
Publication: December 7, 2018
Imprint: Springer
Language: English

This book highlights new methods, algorithms and software for the digital processing and recovery of signals. In addition, it describes a new method for modeling one dimensional and multidimensional signals as successions of local polynomial splines and their spectral characteristics. It provides examples of how the proposed methods can be applied in specific cases, together with signal processing software examples in the MATLAB environment, and models of special processes in the Simulink environment. The book’s goal is to make it easier for beginners to understand the subject matter; it is intended for engineers, undergraduate and graduate students engaged in research or the evaluation and design of hardware and software for the digital processing and recovery of signals.

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This book highlights new methods, algorithms and software for the digital processing and recovery of signals. In addition, it describes a new method for modeling one dimensional and multidimensional signals as successions of local polynomial splines and their spectral characteristics. It provides examples of how the proposed methods can be applied in specific cases, together with signal processing software examples in the MATLAB environment, and models of special processes in the Simulink environment. The book’s goal is to make it easier for beginners to understand the subject matter; it is intended for engineers, undergraduate and graduate students engaged in research or the evaluation and design of hardware and software for the digital processing and recovery of signals.

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