摘要
本文给出了一种新的信号迭代恢复方法,其中估计算子W_k可以根据误差算子B(?)来选择。在每一次迭代过程中,通过选择适当的估计算子W_k可以尽可能的减小估计误差因而使迭代运算具有比较快的收敛速度。本文还对迭代方法的收敛性及噪声影响所产生的误差进行了分析,并给出了普通方法与新方法进行对比的计算例子。
A new iterative method for signal restoration has been presented. Anestimate operator Wk that is related to error operator Bk in the restoration process is introduced to decrease the estimate error and increase the convergence rate. The effect of noise on the estimate process has been described. Finally, the method has been applied to the deconvolu-tion of a blurred signal, the results of which validate the theory. The comparison between presented method and general method has also been given.
关键词
信号处理
迭代恢复
卷积反演
Signal processing
Iterative restoration
Deconvolution
