Combined projection and correlation least mean square algorithm for channel estimation with uncoded and chaotic coded speech

Author

Müller, A. ; Elmirghani, J.M.H.

Author_Institution

Dept. of Electr. & Electron. Eng., Wales Univ., Swansea, UK

Volume

3

fYear

2001

fDate

2001

Firstpage

906

Abstract

Channel estimation is conventionally practically implemented using the least mean squares (LMS) algorithm due to its simplicity. This approach can significantly be impaired by channel noise and adaptation can be slow if the drive signal is correlated. We present a combined projection and correlation least mean squares (CPCLS) algorithm based on our former proposed finite correlation algorithm. These attributes speed up adaptation and result in robust estimation in the presence of noise respectively

Keywords

FIR filters; adaptive filters; adaptive signal processing; chaos; correlation methods; filtering theory; least mean squares methods; speech coding; CPCLS algorithm; FIR adaptation algorithm; LMS algorithm; affine projection algorithm; channel estimation; channel noise; chaotic coded speech; combined projection and correlation LMS algorithm; correlated drive signal; correlation; filter length; finite correlation algorithm; least mean square algorithm; robust estimation; uncoded speech; Additive noise; Channel estimation; Chaos; Finite impulse response filter; Least mean square algorithms; Least squares approximation; Noise level; Noise robustness; Page description languages; Speech;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 2001. ICC 2001. IEEE International Conference on

Conference_Location

Helsinki

Print_ISBN

0-7803-7097-1

Type

conf

DOI

10.1109/ICC.2001.937369

Filename

937369