Adapted waveform “de-noising” for medical signals and images

Author

Coifman, Ronald R. ; Wickerhauser, Mladen Victor

Author_Institution

Dept. of Math., Yale Univ., New Haven, CT, USA

Volume

14

Issue

5

fYear

1995

Firstpage

578

Lastpage

586

Abstract

Our goal is to describe tools for adapting methods of analysis to various tasks occurring in harmonic and numerical analysis and signal processing. By choosing an orthonormal basis, in which space and frequency are suitably localized, one can achieve both understanding of structure and efficiency in computation. In fact, the search for computational efficiency is intimately related to efficiency in representation (i.e., compression) and to pattern extraction, or structural understanding

Keywords

Fourier transforms; adaptive codes; data compression; feature extraction; harmonic analysis; image coding; image representation; medical image processing; medical signal processing; signal representation; waveform analysis; wavelet transforms; adapted waveform de-noising; compression; computational efficiency; frequency; harmonic analysis; medical images; medical signals; numerical analysis; orthonormal basis; pattern extraction; representation; signal processing; space; structural understanding; Biomedical imaging; Frequency; Information analysis; Intersymbol interference; Noise reduction; Signal analysis; Signal processing; Signal processing algorithms; Wavelet analysis; Wavelet packets;

fLanguage

English

Journal_Title

Engineering in Medicine and Biology Magazine, IEEE

Publisher

ieee

ISSN

0739-5175

Type

jour

DOI

10.1109/51.464774

Filename

464774