Application of Wavelets and Auto-Correlation-Function For Cancellation of High-Frequency EMI Noise
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Application of Wavelets and Auto-Correlation-Function For Cancellation of High-Frequency EMI NoiseAbstract
This paper presents a wavelet transforms and auto-correlation function based approach for the high-frequency switching noise cancellation. The noise is extracted by wavelet multi-resolution analysis. The enough features of signal in frequency and time domains are obtained by using arguments and magnitudes of complex wavelet transform as well as main frequency evaluation of auto-correlation function. The simulation results showed that the high frequency noise could be detected and reconstructed accurately and the average noise attenuation is larger than 20dB. This new method provides a multi-level process and multi-level description method for disturbance identification and cancellation.
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