Extraction of spectral features of signals under the noisy environment using modification rules and weighting function

Issue title: Proceedings of the tenth International Symposium on Applied Electromagnetics and Mechanics ISEM-Tokyo

Article type: Research Article

Authors: Akita, Masanori^{a; *} | Tsuboe, Naoki^a | Midorikawa, Yoichi^a

Affiliations: [a] Department of Electrical and Electronic Engineering, Faculty of Engineering, Oita University, Oita 870-1192, Japan

Correspondence: [*] Corresponding author: Masanori Akita, Tel. and Fax: +81 975 54 7837; E-mail: [email protected]

Abstract: This Paper describes the method for effective extraction of spectral features of signals under the noisy environment. Further examination showed that extraction of the features of signals under the noisy environment is possible using modification of spectral envelopes by rule. In this modification method, vanished valleys of spectral envelopes under the noisy environment are recovered. However, the incorrect valleys are sometimes added and the obtained envelopes have bad influences on performance of systems using these features. In this paper, smoothing functions are used for avoiding wrong spectral valleys by rule and the improvement of performance for extraction of spectral features is shown. Four kinds of smoothing functions are defined and evaluated. Experimental results of pattern recognition using proposed spectral parameters are presented.

DOI: 10.3233/JAE-2002-442

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 15, no. 1-4, pp. 123-127, 2002