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In this study, we first analyze the characteristics of knocking and the standing-wave by the wavelet transform using the ion current waveform, which is measured in a spark-ignition engine. Based on this result, we design wavelets to detect knocking from the ion current waveform. We next define an evaluation parameter E, and apply it to knocking detection and show its effectiveness.
In this study, in order to improve the effectiveness of abnormal signal detection, we first develop a novel parasitic discrete wavelet transform (P-DWT) to perform fast wavelet instantaneous correlation (F-WIC) and then propose a new design method of the parasitic filters for the P-DWT. Furthermore, we show a judgment standard for assessing the credibility of the abnormal signal detection by using...
Recently, there is a demand for the development of a noise removal system to acquire comfortable sounds in real-life sound environments in which various noises are intermingled. The Adaptive Line Enhancer (ALE), one of the applications of an adaptive digital filter, can extract only periodic signals from signals containing non-periodic noises. However, the ALE does not work well when applied to signals...
In this study, in order to improve effectiveness of the abnormal signal detection, first the technique of constituting an average real signal mother wavelet (A-RMW) from two or more real signals was proposed. Then a novel parasitic discrete wavelet transform by using the RMW designed is proposed and it effectiveness has been conformed in the identification of the rattle noise that steering operation...
In this paper, we restore a blurred image caused by defocus of a lens using the wavelet transform. In a defocus blurred image, the blurring kernel varies depending on the position in image, so the positional frequency representation such as the wavelet space is necessary for deblurring them. For both removing noise and restoring decreased higher frequency components, we use the translation invariant...
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