Performance of Sigma-Delta quantizers in the context of oversampled filter banks

Author

Abdelkefi, Fatma

Author_Institution

Commun. Technol. Lab., Swiss Fed. Inst. of Technol. (ETH) Zurich, Zurich

fYear

2007

fDate

12-15 Feb. 2007

Firstpage

1

Lastpage

4

Abstract

We consider the computation of the MSE for the first-order Sigma-Delta (SD) quantizers in the context of an oversampled Filter Bank (FB). We use the same SD quantizer model than the one used by Benedetto et al.(2004), we establish that the reconstruction minimum squares error (MSE) behaves as _r ^1/2 where r denotes the frame redundancy. This result is shown to be true both under the quantization model used in Benedetto et al.(2004) as well as under the widely used additive white quantization noise assumption.

Keywords

mean square error methods; quantisation (signal); sigma-delta modulation; additive white quantization noise; frame redundancy; oversampled filter banks; quantization model; reconstruction minimum squares error; sigma-delta quantizers; Channel bank filters; Communications technology; Context; Delta-sigma modulation; Filter bank; Laboratories; Power harmonic filters; Quantization; Reconstruction algorithms; Redundancy;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on

Conference_Location

Sharjah

Print_ISBN

978-1-4244-0778-1

Electronic_ISBN

978-1-4244-1779-8

Type

conf

DOI

10.1109/ISSPA.2007.4555326

Filename

4555326