Noise Analysis of Modulated Quantizer based on Oversampled Signals

Author

Ho, Charlotte Yuk-Fan ; Ling, Bingo Wing-Kuen ; Reiss, Joshua D.

Author_Institution

Dept. of Electron. Eng., London Univ.

Volume

3

fYear

2006

fDate

14-19 May 2006

Abstract

In this paper, a noise analysis of a modulated quantizer is performed. If input signals are oversampled, then the quantization error could be reduced by modulating both the input and the output of the quantizer. The working principle is based on the fact that convolutions of bandpass signals would spread wider in the frequency spectrum than that of lowpass signals. Hence, by filtering the high frequency components, the signal-to-noise ratio (SNR) could be increased. Numerical simulation results show that the modulated quantization scheme could achieve an average of 13.0960 dB to 21.4700 dB improvements on SNR over the conventional scheme, depends on the types of bandlimited input signals

Keywords

bandlimited signals; convolution; quantisation (signal); signal denoising; signal sampling; SNR; bandpass signals convolution; frequency spectrum; modulated quantizer; noise analysis; oversampled signals; quantization error; signal-to-noise ratio; Chirp modulation; Educational institutions; Error analysis; Frequency; Numerical simulation; Performance analysis; Quantization; Signal analysis; Signal to noise ratio; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1660757

Filename

1660757