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9783659692499: A Contemporary Approach for ECG Signal Compression

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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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  • EditoreLAP LAMBERT Academic Publishing
  • Data di pubblicazione2015
  • ISBN 10 3659692492
  • ISBN 13 9783659692499
  • RilegaturaCopertina flessibile
  • LinguaInglese
  • Numero di pagine96
  • Contatto del produttorenon disponibile

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Pushpendra Singh|Navneet Kumar Sahu|Seema Singh
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Condizione: 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 . Codice articolo 25926712

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Pushpendra Singh
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Taschenbuch. Condizione: 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. Codice articolo 9783659692499

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Pushpendra Singh
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Taschenbuch. Condizione: 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. Codice articolo 9783659692499

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Taschenbuch. Condizione: 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. Codice articolo 9783659692499

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