两种时频分析算法的分析比较

【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。更多还原

【Abstract】 With the development of information,the signal processing requirements improvement.Characteristics of signal can be observed from the frequency domain,but for the natural term of non-stationary signals,Observation in the frequency domain does not reflect signal frequency changes in the time axis,Time-frequency analysis can produce a joint function to facilitate the observation signal frequency changes in the time axis.There are Several existing time-frequency analysis,such as short-time Fourier transform,WVD,Chirplet and so on.This paper describes Chirplet and WVD,and analyze results of two algorithms.更多还原