摘要
虽然小波变换具有优良的时频局部化特性,但Mallat算法存在频率折叠,使得在提取信号的某些重要的微弱特征时显得无能为力,为了弥补不足,本文提出了一种改进算法,克服了Mallat算法中频率折叠,成功地将改进算法运用到信号微弱特征的提取中,最后通过仿真实验,论证了该方法的可行性和有效性.
Although wavelet transform has a good time-frequency local property, Mallat algorithm has overlapping in frequency that make it impossible to dealing with some important slight signals. In order to overcome this shortcoming;, this paper brings up a new improved algolithm and the algorithm has been applied in acquiring slight signals successfully. Finally, emulate experiments have been taken to prove the validity of this algorithm.
出处
《漳州师范学院学报（自然科学版）》
2007年第1期42-46,共5页
Journal of ZhangZhou Teachers College（Natural Science)
基金
国家自然科学基金(10361003)
广西省自然科学基金(0542046)
关键词
小波变换
MALLAT算法
傅立叶分析
隔点采样
隔点插零
Wavelet transform
Mallat algorithm
Fourier analysis
Downsampling of keeping one sample out of two
Upsampling of putting one zero between each sample
