The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 28-889
Full Name: Madjid Arezki
Position: Assistant Professor
Age: ON
Sex: Male
Address: University of Blida. BP 270 Route de Soumaa. Blida
Country: ALGERIA
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E-mail address: md_arezki@hotmail.com
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Title of the Paper: Fast algorithms with low complexity for adaptive filtering
Authors as they appear in the Paper: Madjid Arezki, Daoud Berkani
Email addresses of all the authors: md_arezki@hotmail.com, dberkani@hotmail.com
Number of paper pages: 10
Abstract: The numerically stable version of fast recursive least squares (NS-FRLS) algorithms represent a very important load of calculation that needs to be reduced. Its computational complexity is of 8L operations per sample, where L is the finite impulse response filter length. We propose an algorithm for adaptive filtering, while maintaining equilibrium between its reduced computational complexity and its adaptive performances. We present a new (M-SMFTF) algorithm for adaptive filtering with fast convergence and low complexity. It is the result of a simplified FTF type algorithm, where the adaptation gain is obtained only from the forward prediction variables and using a new recursive method to compute the likelihood variable. This algorithm presents a certain interest, for the adaptation of very long filters, like those used in the problems of echo acoustic cancellation, due to its reduced complexity, its numerical stability and its convergence in the presence of the sp!
eech signal. Its computational complexity is of 6L and this is considerably reduced to 2L+4P when we use a reduced P-size (P<<L) forward predictor.
Keywords: Adaptive Filters, FIR model, Fast Algorithms, Stability, Convergence Speed, Tracking capability.
EXTENSION of the file: .pdf
Special (Invited) Session: Advanced Algorithms for Adaptive Filtering
Organizer of the Session: 609-258 (ISPRA'09 Cambridge)
How Did you learn about congress: PR Izzet Kale (U. Westminster), Kalei@westminster.ac.uk
IP ADDRESS: 193.194.70.94
