摘要
随着信息传递速度的提高,信号处理技术要求提高。从信号频域可以观测信号特点,但是对于自然中的非平稳信号,仅仅频域观测不能反映信号频率在时间轴上的变化,由此提出了时频分析技术,可以产生时间与频率的联合函数,方便观测信号频率在时间轴上的变化。在现有的时频分析技术中较为常见的算法有短时傅里叶变换、WVD、线性调频小波等。本文介绍WVD和线性调频小波两种算法,并通过实验仿真对两种算法进行分析。
With the observed from the not reflect signal observation signal Fourier transform, development of information, the signal processing requirements improvement. Characteristics of signal can be frequency domain, but for the natural term of non--stationary signals, Observation in the frequency domain does frequency changes in the time axis, Time-frequency analysis can produce a joint function to facilitate the frequency changes in the time axis. There are Several existing time-frequency analysis, such as short-time WVD, Chirplet and so on. This paper describes Chirplet and WVD,and analyze results of two algorithms .
出处
《科技创新导报》
2011年第35期79-80,82,共3页
Science and Technology Innovation Herald
关键词
信号处理
非平稳信号
时频分析
线性调频小波
WVD
signal processing
non--stationary signals
Time--frequency analysis
Chirplet
WVD
