Copertina di Time-varying frequency/spectral estimation extraction
Titolo del libro:

Time-varying frequency/spectral estimation extraction

Adaptive algorithm vs. Basis Function method

LAP LAMBERT Academic Publishing (23.01.2010 )

Books loader

Omni badge eleggibile a buono
ISBN-13:

978-3-8383-4075-3

ISBN-10:
3838340752
EAN:
9783838340753
Lingua del libro:
Inglese
Risvolto di copertina:
A time-varying autoregressive (TVAR) approach is used for modeling nonstationary signals, and frequency information is then extracted from the TVAR parameters. Two methods may be used for estimating the TVAR parameters: the adaptive algorithm approach and the basis function approach. Adaptive algorithms, such as the least mean square (LMS) and the recursive least square (RLS), use a dynamic model for adapting the TVAR parameters and are capable of tracking time-varying frequency, provided that the variation is slow. It is observed that, if the signals have a single timefrequency component, the RLS with a fixed pole on the unit circle yields the fastest convergence. The basis function method employs an explicit model for the TVAR parameter variation, and model parameters are estimated via a block calculation. We proposed a modification to the basis function method by utilizing both forward and backward predictors for estimating the time-varying spectral density of nonstationary signals. It is shown that our approach yields better accuracy than the existing basis function approach, which uses only the forward predictor.
Casa editrice:
LAP LAMBERT Academic Publishing
Sito Web:
https://www.lap-publishing.com/
Da (autore):
Hall Steven
Numero di pagine:
124
Pubblicato il:
23.01.2010
Giacenza di magazzino:
Disponibile
categoria:
Termodinamica
Prezzo:
59,00 €
Parole chiave:
Science, Frequency, Function Method, Parameter estimation

Books loader

Newsletter

Adyen::amex Adyen::mc Adyen::visa Adyen::cup Adyen::unionpay Paypal Trasferimento

  0 prodotti nel carro d'acquisti
Modificare il carrello
Loading frontend
LOADING