摘要
小波包变换理论上可以实现信号频带的均匀划分,从而更好地提取信号的时频特征.作者首先介绍了卷积型小波包算法,然后分析了三种主要的数字调制信号的小波变换特征,提出了一种基于小波的数字调制信号识别算法,仿真结果表明该算法能够识别典型的数字调制信号,而且具有较好的抗噪声性能.
Wavelet packet transform can decompose the spectrum of signals into uniform sub-bands, thus it can extract the signal＇s time-frequency characteristics clearly. In this paper, convolution wavelet-packet algorithm is first introduced, then wavelet transform features of three main digital modulation signals are analyzed. Finally, a identification algorithm of digital modulation signals is put forward. Simulation results show that this algorithm is reasonable and has good noise performance.
出处
《四川大学学报（自然科学版）》
CAS
CSCD
北大核心
2007年第6期1281-1284,共4页
Journal of Sichuan University(Natural Science Edition)
关键词
小波包
数字信号
调制识别
wavelet packet transform, digital signal, modulation identification
