A saturation analysis of error-spectrum shaping quantizers

Author

Stacey, Newell D. ; Frost, Richard L. ; Ware, Gene A.

Author_Institution

Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA

Volume

44

Issue

2

fYear

1996

fDate

2/1/1996 12:00:00 AM

Firstpage

218

Lastpage

228

Abstract

Error spectrum shaping (ESS) quantizers are analyzed in the context of realistic FIR reconstruction filters and nonzero probability of saturation. Conditions for stable operation are derived, and a suboptimal but effective and computationally efficient design method is proposed. Excellent agreement is obtained between the analysis and simulations. Even under these more stringent constraints, ESS quantizers are shown to achieve significant signal-to-quantization-noise ratio (SQNR) gains when quantizing oversampled Gaussian sources

Keywords

FIR filters; Gaussian processes; digital filters; error analysis; numerical stability; quantisation (signal); signal reconstruction; signal sampling; spectral analysis; design method; error-spectrum shaping quantizers; oversampled Gaussian sources; probability; realistic reconstruction filters; saturation analysis; signal-to-quantization-noise ratio; stable operation; Delta-sigma modulation; Electronic switching systems; Error analysis; Feedback; Finite impulse response filter; Frequency; IIR filters; Image reconstruction; Noise reduction; Noise shaping;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/26.486614

Filename

486614