Title :
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
fDate :
9/1/2001 12:00:00 AM
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;
Journal_Title :
Proceedings of the IEEE
