LTJ adaptive filter with fixed reflection coefficients for speech applications

Author

Yoo, Jae Ha

Author_Institution

Dept. of Electron. Eng., Hankyong Nat. Univ., Anseong, South Korea

Volume

1

fYear

2010

fDate

7-10 Feb. 2010

Firstpage

383

Lastpage

386

Abstract

This paper presents a lattice transversal joint (LTJ) adaptive filter whose reflection coefficients are fixed. Reflection coefficients are given by the statistics of speech signal and the proposed order of the lattice predictor is one. The additional computational complexity over the transversal adaptive filter is only 1 addition and 2 multiplications per sample. Simulation results verify that the proposed LTJ adaptive filter achieves fast convergence with negligible additional complexity compared to the transversal adaptive filter.

Keywords

adaptive filters; computational complexity; speech processing; statistical analysis; computational complexity; fixed reflection coefficient; lattice predictor; lattice transversal joint adaptive filter; speech signal statistics; Adaptive filters; Computational complexity; Computational modeling; Convergence; Lattices; Reflection; Signal processing; Speech; Statistics; Transversal filters; convergence; lattice adaptive filter; reflection coefficients; speech signal; transversal adaptive filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Communication Technology (ICACT), 2010 The 12th International Conference on

Conference_Location

Phoenix Park

ISSN

1738-9445

Print_ISBN

978-1-4244-5427-3

Type

conf

Filename

5440440