Sparse representation for audio noise removal using zero-zone quantizers

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.

Name thesis:degree_name

Master of Science in Electrical Engineering - (M.S.)

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Year

2010

Author dc:creator

• Mittal, Neha

Contributors dc:contributor

• Ali N. Akansu
• Richard A. Haddad
• Deepen Sinha

• Noise removal
• Zero zone quantization
• Electrical and Electronics

Repository record dc:identifier

https://digitalcommons.njit.edu/theses/50

OAI identifier oai:identifier

oai:digitalcommons.njit.edu:theses-1049