一种基于小波包和双谱的信号分析方法

在高斯噪声背景下，为了尽可能地消除噪声的干扰来提取有用信息，提出了一种基于小波包和双谱对加性高斯噪声信号进行处理的方法。主要利用小波包变换良好的时频分析能力和双谱对高斯噪声不敏感，不但能够抑制噪声、提高信噪比，而且可以得到信号幅度、相位、能量、非线性等丰富的特征信息。最后仿真表明了此方法分析信号的可行性和优越性。

A Signal Analysis Method Based on Wavelet Packet & Bi-spectrum

In order to eliminate noise interference to extract useful information in the background of Gaussian noise, proposing a method of signal analysis and processing,which analyzes the additive gaussion noise signal based on wavelet packet and bis - pectrum. The main use of wavelet packet good time - frequency spectral analysis capabilities and t3is - pectrum is not sensitive to Gaussian noise, not only suppress the Gaussion noise in the signal and greatly improve the signal to noise ratio, but also can obtain the signal slope, the phase, the energy, non linearity and so on strong message. The simulation shows that this method of the feasibility and advantages of signal.