Papers by Author: Q. Li

Abstract: This paper proposes a new adaptive filtering algorithm based on the p-TA-QR-LS algorithm [1]. With a coefficient-derivative-based switching scheme, the new algorithm can work between two modes (p=1 and N) and achieve overall optimum convergence performance. The resultant switching p-TA-QR-LS algorithm is thus particularly suitable for acoustic echo cancellation (AEC) where both fast convergence rate and low steady-state estimate error are desired. Experiments are conducted to verify its improved overall convergence performance.

Abstract: Vibration signals of rotating machinery on the base are very weak and always buried in noisy noise; the common denoising methods have become powerless. It presents an ensemble empirical mode decomposition method (EEMD) that is used to denoise for the base vibration signal, which not only to overcome the problem of mode mixing, but also to avoid the selection of wavelet basis function and decomposition level of the problem. Experimental results of simulation and measured data show that EEMD method can effectively reduce the base vibration signal noise, which is better than the wavelet and EMD denoising method.