采用动态时间归整(DTW)算法对语音信号进行特征参数序列比较并识别出结果。
The speech recognition system adopts dynamic time warping (DTW) algorism to compare the characteristic parameters of speech signal with each other and recognize the result of speech signal.
依靠非线性时间序列分析方法提取重构动力系统的非线性或混沌特征参数，可以达到识别的目的。
The targets recognition can be reached by extracting the features of the reconstructed dynamics using nonlinear methods.
依靠非线性时间序列分析方法提取重构动力系统的非线性或混沌特征参数，可以达到识别的目的。
The targets recognition can be reached by extracting the features of the reconstructed dynamics using nonlinear methods.
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