Noise analysis of modulated quantizer based on oversampled signals

Ho, Yuk-Fan and Ling, Wing-Kuen and Reiss, Joshua (2006) Noise analysis of modulated quantizer based on oversampled signals. In: International Conference of Acoustics, Speech and Signal Processing, May 2006, Toulouse.

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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 13.0960dB to 21.4700dB improvements on SNR over the conventional scheme, depends on the types of bandlimited input signals.

Item Type:Conference or Workshop Item (Paper)
Additional Information: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 13.0960dB to 21.4700dB improvements on SNR over the conventional scheme, depends on the types of bandlimited input signals.
Keywords:noise analysis, sigma delta modulator, modulation
Subjects:H Engineering > H310 Dynamics
Divisions:College of Science > School of Engineering
ID Code:3097
Deposited By:INVALID USER
Deposited On:05 Aug 2010 21:41
Last Modified:13 Mar 2013 08:43

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