Télécharger le livre :  Model-Based Processing
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A bridge between the application of subspace-based methods for parameter estimation in signal processing and subspace-based system identification in control systems  Model-Based Processing: An Applied Subspace Identification Approach provides expert insight on...

Editeur : Wiley
Parution : 2019-03-15

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143,43
Télécharger le livre :  Bayesian Signal Processing
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Presents the Bayesian approach to statistical signal processing for a variety of useful model sets  This book aims to give readers a unified Bayesian treatment starting from the basics (Baye’s rule) to the more advanced (Monte Carlo sampling), evolving to the...

Editeur : Wiley-IEEE Press
Parution : 2016-06-20
Collection : Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
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148,70
Télécharger le livre :  Model-Based Signal Processing
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A unique treatment of signal processing using a model-based perspective Signal processing is primarily aimed at extracting useful information, while rejecting the extraneous from noisy data. If signal levels are high, then basic techniques can be applied. However, low...

Editeur : Wiley-IEEE Press
Parution : 2005-10-27
Collection : Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
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215,17