A new variable step LMS algorithm for transform domain

Author

Bilcu, Radu ; Kuosmanen, Pauli ; Egiazarian, Karen

Author_Institution

Signal Process. Lab., Tampere Univ. of Technol., Finland

Volume

3

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

1161

Abstract

Proposes a new variable step LMS algorithm for transform domain (TDVSLMS). The new algorithm has the advantage of a variable step-size and the decorrelation of the input signal for increased speed of convergence. The difference between the new algorithm and the existing transform domain approaches is that the update of the step-size is based on the output error. In the case of the new TDVSLMS algorithm the step-size for each filter tap contains two time-variable components: the local component given by the normalization with the coefficient power, and the overall component that depends on the output error. In the simulations presented we show the benefits of this new algorithm compared with other time domain and transform domain implementations

Keywords

adaptive filters; convergence of numerical methods; decorrelation; least mean squares methods; TDVSLMS; coefficient power; decorrelation; filter tap; input signal; local component; normalization; output error; overall component; speed of convergence; time-variable components; transform domain; variable step LMS algorithm; variable step-size; Adaptive algorithm; Adaptive filters; Convergence; Decorrelation; Digital signal processing; Error correction; Laboratories; Least squares approximation; Signal processing algorithms; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits and Systems, 2001. ICECS 2001. The 8th IEEE International Conference on

Print_ISBN

0-7803-7057-0

Type

conf

DOI

10.1109/ICECS.2001.957422

Filename

957422