基于近似小波变换的信号脉内特征分析

Extraction of the In-pulse Characteristics of Signal Based on Approximate Wavelet Transform

基于近似小波变换对信号脉内调制特性进行了分析,得到了调制信号的瞬时参数.利用叠代算法仿真了近似小波变换的分析 结果,仿真在较低信噪比下仍能得到准确的脉内信息,验证了近似小波变换提取信号脉内信息的有效性.

Analysis of the in-pulse characteristics of signal is done in the paper with approximate wavelet transform. The timely in-pulse characteristic can be gained by approximate wavelet transform, under low SNR by the algorithm. Simulations are performed on superposition algorithm, and the results show that the in-pulse characteristics can be also obtained under the strong noise circumstance. Results prove that the extraction of the in-pulse characters by approximate wavelet transform is effective.