针对复信号,提出了一种新的基于正则化的去噪方法。在借鉴Tikhonov正则化参数选择方法的基础上,给出了最优正则化参数的自动选择方法。与目前大多数仅在实数域的去噪方法不同,它可直接对复信号进行处理。仿真计算结果表明,该方法有较好的去噪能力,同时能够有效地保护信号中的重要特征。

Aiming at complex signal, a novel de-noising method based on regularization is presented. Based on parameter selection of Tikhonov regularization, automatic optimal regularization parameter selection method is proposed. It can directly deal with complex signal and differs very much from most of the conventional complex signal de-noising methods. Simulation results show that this method behaves well in signal de-noising and efficiently preserves the important feature of the signal at the same time. [

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承国家自然科学基金(60272013)，2001年优秀博士论文作者专项基金项目(200140)资助