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This paper presents a new method of doubletalk protection in Acoustic echo cancellation [AEC), named weighted-sum normalization. The weighted-sum method replaces the normalization term of the traditional NLMS algorithm by the sum of the weighted power of residue echo signal and the power of the reference signal. Emulation results on AEC have shown that this method can stabilize the adaptive filter in the case of the large fluctuation of the near-end signal, such as in double-talk situation.

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For the weakness of conventional POCS algorithms, a novel spatio-temporal adaptive super-resolution reconstruction algorithm of video is proposed in this paper. The spatio-temporal adaptive mechanism, which is based on POCS super-resolution reconstruction algorithm, can effectively prevent reconstructed image from the influence of inaccuracy of motion information and avoid the impact of noise amplification, which exist in using conventional POCS algorithms to reconstruct image sequences in dramatic motion. Experimental results show that the spatio-temporal adaptive algorithm not only effectively alleviate amplification noise but is better than the traditional POCS algorithms in signal to noise ration.