分析了该信号的时域、频域、倒谱，循环谱等,从先验概率中采样，计算权重，一种噪声辅助数据分析方法,包含了阵列信号处理的常见算法，通过反复训练模板能有较高的识别率，各种资源分配算法实现。- Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Sampling　a priori probability, calculate the weight, A noise auxiliary data analysis method, Contains a common array signal processing algorithm, Through repeated training EqiFSQzlate have higher recognition rate, Various resource allocation algorithm.