Items related to A Contemporary Approach for ECG Signal Compression

A Contemporary Approach for ECG Signal Compression - Softcover

 
9783659692499: A Contemporary Approach for ECG Signal Compression

Synopsis

Most of the signals in practice are time-domain signals in their raw format. Time amplitude representation is not always the best representation of the signal for most signal processing related applications. Fourier analysis has a serious drawback that in transforming to the frequency domain, time information is lost. This drawback isn't very important if the signal is a stationary signal. However, most interesting signals are non-stationary (ECG, EMG, EEG etc.) and thus Fourier analysis is not suited to detecting transitory characteristics. The traditional Fourier transform only provides the spectral information of a signal and thus it is not suitable for the analysis of non-stationary signals and hence a more suitable technique has been applied for the study. The main goal of the book is to develop the compression algorithms based upon the various one transform techniques available and from there to develop a new two dimensional Transform technique which will give better results as compared to the previous one dimensional signal compression technique without loss of any signal information.

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  • PublisherLAP Lambert Academic Publishing
  • Publication date2015
  • ISBN 10 3659692492
  • ISBN 13 9783659692499
  • BindingPaperback
  • LanguageEnglish
  • Number of pages96

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ISBN 10: 3659692492 ISBN 13: 9783659692499
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Most of the signals in practice are time-domain signals in their raw format. Time amplitude representation is not always the best representation of the signal for most signal processing related applications. Fourier analysis has a serious drawback that in transforming to the frequency domain, time information is lost. This drawback isn't very important if the signal is a stationary signal. However, most interesting signals are non-stationary (ECG, EMG, EEG etc.) and thus Fourier analysis is not suited to detecting transitory characteristics. The traditional Fourier transform only provides the spectral information of a signal and thus it is not suitable for the analysis of non-stationary signals and hence a more suitable technique has been applied for the study. The main goal of the book is to develop the compression algorithms based upon the various one transform techniques available and from there to develop a new two dimensional Transform technique which will give better results as compared to the previous one dimensional signal compression technique without loss of any signal information. 96 pp. Englisch. Seller Inventory # 9783659692499

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Published by LAP LAMBERT Academic Publishing, 2015
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Most of the signals in practice are time-domain signals in their raw format. Time amplitude representation is not always the best representation of the signal for most signal processing related applications. Fourier analysis has a serious drawback that in transforming to the frequency domain, time information is lost. This drawback isn't very important if the signal is a stationary signal. However, most interesting signals are non-stationary (ECG, EMG, EEG etc.) and thus Fourier analysis is not suited to detecting transitory characteristics. The traditional Fourier transform only provides the spectral information of a signal and thus it is not suitable for the analysis of non-stationary signals and hence a more suitable technique has been applied for the study. The main goal of the book is to develop the compression algorithms based upon the various one transform techniques available and from there to develop a new two dimensional Transform technique which will give better results as compared to the previous one dimensional signal compression technique without loss of any signal information. Seller Inventory # 9783659692499

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Pushpendra Singh|Navneet Kumar Sahu|Seema Singh
Published by LAP LAMBERT Academic Publishing, 2015
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Singh PushpendraAuthor is currently working as Assistant Professor in the department of Electronics & Telecommunication Engineering at Chhatrapati Shivaji Institute of Technology Durg. He has published more than 15 papers in indexed . Seller Inventory # 25926712

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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Most of the signals in practice are time-domain signals in their raw format. Time amplitude representation is not always the best representation of the signal for most signal processing related applications. Fourier analysis has a serious drawback that in transforming to the frequency domain, time information is lost. This drawback isn¿t very important if the signal is a stationary signal. However, most interesting signals are non-stationary (ECG, EMG, EEG etc.) and thus Fourier analysis is not suited to detecting transitory characteristics. The traditional Fourier transform only provides the spectral information of a signal and thus it is not suitable for the analysis of non-stationary signals and hence a more suitable technique has been applied for the study. The main goal of the book is to develop the compression algorithms based upon the various one transform techniques available and from there to develop a new two dimensional Transform technique which will give better results as compared to the previous one dimensional signal compression technique without loss of any signal information.Books on Demand GmbH, Überseering 33, 22297 Hamburg 96 pp. Englisch. Seller Inventory # 9783659692499

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