Knock signal denoising employing a new time domain method

one of the factors, which affect efficiency, and life time of internal combustion engine is knock. Knock sensor is considered as a common sensor for detection of this phenomenon and it normally has low accuracy due to noise contamination of the knock signal. Nowadays, wavelet decomposition is used as a powerful method for noise reduction in signal processing. In this study, by employment of wavelet and adaptive filter denoising, detection accuracy of this effect has been improved. This method is applied to real knock signal, which shown superiority compare to previous works and led to 13.2% improvement in detection accuracy.