Recognition Approach of Signals Based on Short-Time Comparison Distribution
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摘要: 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.Abstract: 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.
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Key words:
- short-time signal /
- time-frequency distribution /
- recognition
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