A denoising reconstruction algorithm using the signal magnitude spectrum is proposed and the simulation studies have been performed. The magnitude-frequency characteristics of the noisy signal is utilized in the algorithm and the denoising is realized by the use of characteristic bases. The simulation results have shown that the wide-band noise can be largely cancelled using the algorithm proposed to perform the noisy signal reconstruction. The algorithm can be used for the off-line denoising of the strong noise corrupted signals.%提出了一种利用信号幅度谱的去噪重构算法，并作了仿真实验研究． 该算法利用含噪信号在幅频特性上的特征，通过特征基来进行信号的去噪处理． 仿真研究结果表明，采用该种算法作含噪信号的重构，可以明显地去除信号的宽带噪声． 该算法可以应用于噪声严重污染信号的离线去噪处理．
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