基于短时比较分布的信号识别方法

为了在时频域内快速而有效地对信号进行识别，在对相关域内短时信号模糊函数进行分析的基础上，针对短时信号提出了短时比较分布（SCD）的概念并给出了其核函数，通过选取少量短时信号并比较它们的SCD，从而实现复杂信号的识别，实验结果表明，由于SCD具有较强的交叉项抑制能力，该识别方法在减少计算量的同时，也具有较好的抗噪声性能．

Recognition Approach of Signals Based on Short-Time Comparison Distribution

To recognize signals rapidly and effectively in the time-frequency domain,the concept and core function of short-time comparison distribution(SCD) were proposed for short-time signals through analyzing the short-time signal's ambiguity function in the time-lag domain.As a result,a new approach of recognizing complex signals can be realized by selecting several short-time sections of a complex signal to be recognized and comparing their SCDs.Experimental results show that because the SCD of a short-time signal has a powerful ability in cross term suppression,the approach not only reduces the amount of calculation but also has a better anti-noise performance.