Abstract

This poster presents novel methods for determining if dither is needed when reducing the bit depth of a one dimensional digital signal. These are statistical based methods in both the time and frequency domains, and are based on determining whether the quantization noise with no dither added is white. If this is the case, then no undesired harmonics are added in the quantization or re-quantization process. Experiments showing the effectiveness of the methods with both synthetic and real one dimensional signals are presented.

Notes

Poster presented at the 2006 Thrust R2C Multi Spectral Discrimination Methods Conference

Keywords

Dither, harmonics, noise

Subject Categories

Information measurement

Disciplines

Engineering

Publisher

Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems (Gordon-CenSSIS)

Publication Date

2006

Rights Holder

Center for Subsurface Imaging and Systems



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