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£76.28

Springer Digital Processing and Reconstruction of Complex Signals

Name: Digital Processing and Reconstruction of Complex Signals
Brand: Springer
Price: 76.35 GBP
Availability: InStock

Algorithms

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Product Description This book details methods for analyzing, processing and reconstructing complex signals. It presents a newly developed method for the calculation of basic parameters of the processed voltage and current signals. From the Back Cover In real electronic systems, voltage and current signals are not necessarily of a periodical quantity, due to the presence of nonharmonic components or/and possible stochastic variation. This book presents in four chapters methods for analyzing and processing and reconstructing complex signals. The processing of nonharmonic components of ac signals, i.e. interharmonics and subharmonics based on the principles of synchronous sampling is a topic of chapter two. The conditions, required for the performance of such a processing, have necessarily been derived. The problem of the reconstruction of complex periodic signals, which is in the focus of chapter three of this monograph, has been given special attention. A completely new protocol, which enables the development of much superior and more efficacious algorithms, has been developed, and the obtained results are unique in global practice. A newly developed method for the calculation of basic parameters of the processed voltage and current signals is given in chapter four. Having being practically verified, this method has demonstrated exceptionally favorable performance. The monograph is beneficial to specialists and experts involved in problems of this scientific field, and it will serve as a useful guideline to follow in further investigations.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3642429254
Category: Books > Subjects > Computing & Internet > Programming > Algorithms
Domain: Amazon UK
Release Date: 29 November 2014
Listed Since: 02 December 2014

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Springer Digital Processing and Reconstruction of Complex Signals

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