Statistical methods for the estimation of quantization effects in FIR-based multirate systems

Author

Yurdakul, Arda ; Dundar, Gunhan

Author_Institution

Dept. of Electr. Eng., Bogazici Univ., Istanbul, Turkey

Volume

47

Issue

6

fYear

1999

fDate

6/1/1999 12:00:00 AM

Firstpage

1749

Lastpage

1753

Abstract

In this correspondence, statistical methods are used to estimate the error on the output signal due to quantization of filter coefficients and the fractional part of the data bus in FIR-based multirate systems. In addition, a convex programming model is formed to estimate the filter coefficient wordlengths given the output signal error. The model is capable of handling folded architectures as well as regular ones

Keywords

FIR filters; convex programming; digital filters; error statistics; estimation theory; quantisation (signal); FIR-based multirate systems; convex programming model; data bus; error analysis; error estimation; filter coefficient wordlengths; filter coefficients; folded architectures; mean square error methods; nonlinear programming; output signal; output signal error; quantization effects estimation; statistical methods; Convolution; Equations; Filter bank; Notice of Violation; Quantization; Signal processing; Signal processing algorithms; Signal resolution; Speech processing; Statistical analysis;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.765160

Filename

765160