摘要
从混沌、噪声与谐波信号的时频特性分析入手,提出一种时—频域联合的两步化提取新方法,将经验模态分解与小波多尺度分解优势互补并相互融合。讨论了谐波信号的幅值、频率以及噪声能量对提取性能的影响,仿真实验验证了算法的有效性。
after the time-frequency character analyses of the chaos, the noise and the harmonic signal, a new two-step extraction method of time-frequency was put forward, aimed to complement each other＇s advantages and mutual fusion for wavelet multi-scale decomposition and empirical mode decomposition. The problem that the influence of the amplitude, frequency and noise energy on the extraction performance is also dissuced. Computer simulation verified that the method has high availability.
出处
《通信学报》
EI
CSCD
北大核心
2011年第12期60-64,共5页
Journal on Communications
基金
国家自然科学基金资助项目(61102071)
黑龙江大学青年基金资助项目(QL201025)~~
关键词
谐波信号
时频分析
提取
混沌
harmonic signal
time-frequency analysis
extraction
chaos
