Turbulent Signal Processing Based on Wavelet Transform De-noising Technique
子波去噪技术在湍流信号处理中的应用

Based on the characteristics of random noise wavelet transform on different scales and the relationship between the noise Lipschitz and its wavelet modulus maximum, an algorithm was presented where the wavelet transform coefficients of noise-turbulent signal were filtered by changeable threshold so as to reduce the noise in turbulent signal. Some computer de-noising simulation results were given. The results showed that the method was effective both in removing the noise and in enhancing the SNR of the signal.