A novel interpolation method for blind system identification

Author

Antonakoudi, A. ; Constantinides, A.G.

Author_Institution

Dept. of Electr. & Electron. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK

fYear

2001

fDate

18-21 Nov. 2001

Firstpage

217

Lastpage

222

Abstract

The problem of single channel blind identification/deconvolution is considered, where a degraded observed signal is modelled as the convolution of a non-stationary source signal with a stationary IIR distortion filter. The specific contribution is concerned with the development of the conditions for the resolution of the problem by means of interpolation as opposed to the usual approach through resampling. Recovery of the source input is achieved by introducing a novel interpolation scheme, which is applied to the observed distorted output to create the necessary conditions for blind identification of the filter parameters.

Keywords

IIR filters; convolution; deconvolution; interpolation; parameter estimation; IIR filter; blind system identification; channel deconvolution; convolution; distorted output; filter parameters; interpolation; non-stationary source signal; signal modelling; source input recovery; stationary distortion filter; Australia; Convolution; Degradation; Distortion; Finite impulse response filter; IIR filters; Interpolation; Signal processing; Speech; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Systems Conference, The Seventh Australian and New Zealand 2001

Print_ISBN

1-74052-061-0

Type

conf

DOI

10.1109/ANZIIS.2001.974079

Filename

974079