Fuzzy Identification Based on Wavelet-Transformed Feature Extraction
首发时间:2005-12-19
Abstract:This paper presents an approach of identifying signals in complex environments. The signals being studied include the following three kinds, communication signals, radar signals and telecontrol signals. A fuzzy identification based on wavelet transform to feature extraction of signal is proposed. In this study, signals will be analyzed by firstly being taken a wavelet transform, secondly extracted 10 effective statistic features on the time-scale field, and lastly identified by using the fuzzy identification method. Computer simulation shows that the method is effective.
keywords: Wavelet Transform, Feature Extraction, Fuzzy Identification.
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Fuzzy Identification Based on Wavelet-Transformed Feature Extraction
摘要:This paper presents an approach of identifying signals in complex environments. The signals being studied include the following three kinds, communication signals, radar signals and telecontrol signals. A fuzzy identification based on wavelet transform to feature extraction of signal is proposed. In this study, signals will be analyzed by firstly being taken a wavelet transform, secondly extracted 10 effective statistic features on the time-scale field, and lastly identified by using the fuzzy identification method. Computer simulation shows that the method is effective.
关键词: Wavelet Transform, Feature Extraction, Fuzzy Identification.
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