摘要
利用信号与噪声奇异点Lipschitz指数的区别,以及反映在其小波变换模极大值曲线上的特点,应用小波变换模极大值降噪法,对含有带限高斯白噪声的数字通信信号进行了降噪处理,并对降噪原理、算法和仿真结果进行了较为详细的分析。提出了一种信号重构新方法,该方法利用小波变换对信号和噪声的模极大值进行分离,通过对噪声模极大值对应的小波系数进行线性压缩后重构信号,并用仿真试验验证了该方法的有效性。
As the signal singularities and noise fluctuations have different lipschtiz opponents and distinct modular curve, the modular maximum de - noising is applied to de-noising digital communication signals with band-limited white Gaussian noise. It is described in aspects about the theory, algorithm, simulation and result-analysis. A new method about reconstructing signals using the modular maximum de-noising is proposed. The signal is separated from noise in modular maxima by wavelet transform, and the coefficients belonging to the noise are compressed, then the de-noised signal is reconstructed. The simulation experiments are performed to validate the new method.
出处
《无线电工程》
2007年第6期32-34,共3页
Radio Engineering
