Signal processing and pattern recognition with soft computing

Author

Suzuki, Yukinori ; Itakura, Ken-ichi ; Saga, Sato ; Maeda, Junji

Author_Institution

Dept. of Comput. Sci. & Syst. Eng., Muroran Inst. of Technol., Hokkaido, Japan

Volume

89

Issue

9

fYear

2001

fDate

9/1/2001 12:00:00 AM

Firstpage

1297

Lastpage

1317

Abstract

We describe the overall role of soft computing (SC) in signal processing and pattern recognition (SPPR) with specific applications to biomedical engineering, geoscience for mining and civil engineering human interfaces, and image processing. Detection of characteristic points in an electrocardiogram to implement an advanced ECG analyzer is presented which is carried out using both conventional SPPR techniques and self-organizing neural networks. Successful technologies for monitoring a geostructure by supervised and self-organizing neural networks are described. Identification of a freehand drawing by a combination of fuzzy logic and neural networks is also described. Moreover, application of fuzzy logic to image segmentation is presented. Finally, innovation of SPPR using SC technologies is discussed

Keywords

civil engineering computing; fuzzy logic; geophysics computing; image segmentation; medical signal processing; pattern recognition; self-organising feature maps; user interfaces; ECG analyzer; biomedical engineering; civil engineering; fuzzy logic; geoscience; image segmentation; mining; pattern recognition; self-organizing neural networks; signal processing; soft computing; user interfaces; Biomedical computing; Biomedical engineering; Biomedical signal processing; Civil engineering; Computer interfaces; Fuzzy logic; Geoscience; Neural networks; Pattern recognition; Signal processing;

fLanguage

English

Journal_Title

Proceedings of the IEEE

Publisher

ieee

ISSN

0018-9219

Type

jour

DOI

10.1109/5.949486

Filename

949486