Document Type
Thesis
Date of Award
Fall 1-31-2010
Degree Name
Master of Science in Electrical Engineering - (M.S.)
Department
Electrical and Computer Engineering
First Advisor
Ali N. Akansu
Second Advisor
Richard A. Haddad
Third Advisor
Deepen Sinha
Abstract
In zero zone quantization, bins around zero are quantized to a zero value. This kind of quantization can be applied on orthogonal transforms to remove the unwanted or redundant signal. Transforms reveal structures and properties of a signal and hence careful application of a zero zone over the transform coefficients leads to noise removal. In this thesis, such quantizers are applied over Discrete Fourier Transform and Karhunen Loeve Transform coefficients separately, and outputs compared. Further, the localization of the zero zones to certain frequencies leads to better performance in terms of noise removal. PEAQ (Perceptual Evaluation of Audio Quality) scores have been used to measure the objective quality of the denoised signal.
Recommended Citation
Mittal, Neha, "Sparse representation for audio noise removal using zero-zone quantizers" (2010). Theses. 50.
https://digitalcommons.njit.edu/theses/50
