Denoising using oversampled wavelet frames /

developed to "denoise" the signal before it is processed.

Bibliographic Details
Main Author: Barreto, Joel J.
Format: Thesis eBook
Language:English
Published: [Place of publication not identified] : [publisher not identified] ; 1996.
Subjects:
Online Access:Link to OAKTrust copy
Description
Summary:developed to "denoise" the signal before it is processed.
implemented in real-time. The performance of our algorithms
intend to develop algorithms that are efficient and can be
Noise is an unavoidable factor in any signal processing
of signal denoising using the recently developed mathematical
of the signal. It is, therefore, critical that techniques be
primarily on eliminating the source noise in the signal. We
signals degenerates rapidly with increase in the noise level
source noise. Performance of algorithms developed to process
system. It is generally of two types - channel noise and
The objective of this research is to explore the possibility
theory of "oversampled frames". This research will focus
thresholding of wavelet coefficients.
will be compared to the current denoising methods based on
Item Description:"Major subject: Electrical Engineering".
Vita.
Physical Description:x, 61 leaves : illustrations ; 28 cm.
Also available online.
Issued also on microfiche from Lange Micrographics.
Bibliography:Includes bibliographical references.