A tree of median pyramidal decompositions with an application to signal denoising

Author

Melnik, V. ; Egiazarian, K. ; Shmulevich, I. ; Kuosmanen, P.

Author_Institution

Signal Process. Lab., Tampere Univ. of Technol., Finland

Volume

1

fYear

2000

fDate

2000

Firstpage

117

Abstract

We propose to generate a library of median pyramidal decompositions organized as a tree. It is shown that the best decomposition on this tree can be chosen using the techniques developed in wavelet theory. Based on the tree of decompositions, a denoising algorithm is introduced. Numerical simulations have shown that the proposed algorithm is more effective for signal denoising than the method based on the traditional median pyramidal transform

Keywords

noise; signal reconstruction; transforms; trees (mathematics); wavelet transforms; denoising algorithm; library; median pyramidal decompositions; median pyramidal reconstruction algorithms; median pyramidal transform; numerical simulations; signal denoising; tree decomposition; wavelet theory; Digital signal processing; Laboratories; Noise reduction; Nonlinear filters; Numerical simulation; Signal denoising; Signal generators; Signal processing algorithms; Smoothing methods; Software libraries;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.861879

Filename

861879