La plupart des signaux en pratique sont des signaux temporels dans leur format brut. La représentation de l'amplitude du temps n'est pas toujours la meilleure représentation du signal pour la plupart des applications liées au traitement du signal. L'analyse de Fourier présente un sérieux inconvénient que lors de la transformation vers le domaine fréquentiel, les informations de temps sont perdues. Cet inconvénient n'est pas très important si le signal est un signal stationnaire. Cependant, les signaux les plus intéressants sont non stationnaires (ECG, EMG, EEG, etc.) et donc l'analyse de Fourier n'est pas adaptée à la détection de caractéristiques transitoires. La transformée de Fourier traditionnelle ne fournit que les informations spectrales d'un signal et n'est donc pas adaptée à l'analyse de signaux non stationnaires et donc une technique plus appropriée a été appliquée pour l'étude. L'objectif principal du livre est de développer les algorithmes de compression basés sur les différentes techniques de transformation unique disponibles et à partir de là de développer une nouvelle technique de transformation bidimensionnelle qui donnera de meilleurs résultats par rapport à la technique de compression de signal unidimensionnelle précédente sans perte d'informations de signal.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Etat : 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 . N° de réf. du vendeur 25926712
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783659692499
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783659692499
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783659692499
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