Tree structures for time-frequency signal analysis

Author

Akansu, Ali N. ; Liu, Yipeng

Author_Institution

Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA

fYear

1991

fDate

14-17 Apr 1991

Firstpage

2037

Abstract

The popular orthonormal decomposition techniques such as block transforms and filter banks for multiresolution signal representation are unified. Their comparative performance results based on signal energy compaction are presented for image and AR(1) sources. It is observed that the filter banks with computationally efficient filtering algorithms and irregular tree structures are potential competitors to the block transforms, particularly for image processing and coding applications

Keywords

frequency-domain analysis; signal processing; time-domain analysis; trees (mathematics); block transforms; filter banks; image coding; image processing; irregular tree structures; multiresolution signal representation; orthonormal decomposition techniques; signal energy compaction; signal processing; time-frequency signal analysis; Compaction; Energy resolution; Filter bank; Filtering algorithms; Image processing; Signal analysis; Signal representations; Signal resolution; Time frequency analysis; Tree data structures;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on

Conference_Location

Toronto, Ont.

ISSN

1520-6149

Print_ISBN

0-7803-0003-3

Type

conf

DOI

10.1109/ICASSP.1991.150804

Filename

150804