Wideband signal estimation using Karhunen-Loeve filters

Author

Mohd, Dashuki

Author_Institution

Petronas Res. & Sci. Services Sdn. Bhd., Selangor, Malaysia

Volume

1

fYear

1994

fDate

14-18 Nov 1994

Firstpage

220

Abstract

Karhunen-Loeve (K-L) transform is known as an optimum transform in the mean square sense and it has been used in many areas such as in signal and image processing applications. In this paper, the K-L transform is used in the design of Wiener filters for wideband signal estimation. These filters are formulated based on nonlinear smoothing algorithms which produce circulant, Toeplitz and diagonal impulse response matrices. The performance of these filters is investigated based on the mean-squared-error (MSE) and percent distortion. Computer simulations show that the filters perform well in estimating the signal embedded in white noise

Keywords

Toeplitz matrices; Wiener filters; image processing; signal processing; smoothing methods; transforms; transient response; white noise; K-L transform; Karhunen-Loeve filters; Karhunen-Loeve transform; Toeplitz matrix; Wiener filters design; circulant matrix; diagonal impulse response matrices; image processing applications; mean square optimum transform; mean squared error; nonlinear smoothing algorithms; percent distortion; signal processing applications; white noise; wideband signal estimation; Computer simulation; Estimation; Image processing; Karhunen-Loeve transforms; Nonlinear distortion; Signal design; Signal processing; Smoothing methods; Wideband; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Singapore ICCS '94. Conference Proceedings.

Print_ISBN

0-7803-2046-8

Type

conf

DOI

10.1109/ICCS.1994.474075

Filename

474075