TIME-FREQUENCY ANALYSIS USING NEURAL NETWORKS kitap kapağı
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TIME-FREQUENCY ANALYSIS USING NEURAL NETWORKS

De-blurred Time-Frequency Distributions Using Neural Networks

VDM Verlag Dr. Müller (2010-07-29 )

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ISBN-13:

978-3-639-27615-2

ISBN-10:
3639276159
EAN:
9783639276152
Kitabın dili:
İngilizce
Özet:
The work in this monograph is divided in three parts. In the first part, it explores and discusses the diversity of concepts and motivations for obtaining good resolution and highly concentrated time- frequency distributions (TFDs) for the research community. The description of the methods used for TFDs' objective assessment is provided later in this part. In the second part, a novel multi-processes neural network based framework to obtain highly concentrated TFDs is proposed. The propose method utilizes a localised Bayesian regularised neural network model (BRNNM) to obtain the energy concentration along the instantaneous frequencies (IFs) of individual components in the multicomponent signals without assuming any prior knowledge. The third part presents the discussion on the experimental results obtained by the proposed technique. Moreover the framework is extended to include the various objective methods of assessment to evaluate the performance of de-blurred TFDs obtained through the proposed technique.
Yayınevi:
VDM Verlag Dr. Müller
Websitesi:
http://www.vdm-verlag.de
Yazar:
Imran Shafi
Sayfa sayısı:
152
Yayın tarihi:
2010-07-29
Hisse:
Mevcut
Kategori:
Makine mühendisliği, üretim teknolojisi
Fiyat:
59.00 €
Anahtar kelimeler:
time-frequency analysis, Reassignment, De-blurring, Bayesian regularized neural network model, concentration, resolution, Closely spaced components, Spectrogram, Wigner-Ville distribution

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