Detection and Extraction of Waveform Shapes for Local Signals Using Characteristic Waveform Template

Abstract

AbstractSince local signals appear time‐locally and their waveforms are steep, conventional signal processing methods are generally inadequate to detect them. In this paper, by focusing on amplitude distribution forms of an observed signal, a simple signal processing method is proposed to detect the local signals and extract their waveform shapes simultaneously. Concretely, a characteristic waveform template which consists of representative data series of a simplified target local signal is newly introduced, and a certain event regulated with it is adopted. The local signals can be detected by evaluating whether the amplitude distribution forms of observed signals are associated with the event, and substitution of conditional events for associated events improves detection performance. In addition, the proposed method has been extended to extract waveform shapes by introducing an enhanced waveform template, and automatic detection and extraction of waveform shapes can be performed simultaneously. The proposed method is applied to simulation signal data, and its effectiveness is confirmed by detection performance and extracted waveform shapes for the local signals. © 2011 Wiley Periodicals, Inc. Electr Eng Jpn, 175(3): 37–47, 2011; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/eej.21074