Lower Bound on the Mean-Squared Error in Oversampled Quantization of Periodic Signals Using Vector Quantization Analysis
Thao, Nguyen T.; Vetterli, Martin
1996

Files

Abstract

Oversampled analog-to-digital conversion is a technique which permits high conversion resolution using coarse quantization. Classically, by lowpass filtering the quantized oversampled signal, it is possible to reduce the quantization error power in proportion to the oversampling ratio R. In other words, the reconstruction mean-squared error (MSE) is in

Details

Title Lower Bound on the Mean-Squared Error in Oversampled Quantization of Periodic Signals Using Vector Quantization Analysis
Author(s) Thao, Nguyen T. ; Vetterli, Martin
Published in IEEE Transactions on Information Theory
Volume 42
Issue 2
Pages 469-479
Date 1996
Keywords
DOI https://doi.org/10.1109/18.485717
Other identifier(s) View record in Web of Science
Laboratories LCAV
Record Appears in Scientific production and competences > I&C - School of Computer and Communication Sciences > IINFCOM > LCAV - Audio Visual Communications Laboratory
Scientific production and competences > Euler Center for Signal Processing
Peer-reviewed publications
Work produced at EPFL
Journal Articles
Published
Record creation date 2005-04-18

Actions

Preview