The audio signal feature, in this scheme, is the LPC Mel Cepstrum Coefficient (LPCMCC) and recognition algorithm is Dynamic Time Warping (DTW).
系统提取的音频信号特征为线性预测美尔倒谱系数（LPCMCC），采用动态时间规整（DTW）的识别算法。
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.
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。
After signal local wave decomposition, the information entropy according to time-frequency distribution was established, and it was used as characteristic parameter for fault recognition.
对信号进行局域波分解后，建立基于时频分布的信息熵，以此作为故障识别的参数。
In this paper the radar return signal features for forming short— time dangerous wind are approached. A method of recognition and for— ccasting of radar for short—time dangerous wind is examined.
本文探讨了形成短时大风的雷达回波特征，提出了雷达识别和预报短时大风的方法。
The time - varying properties can be extracted better when signal being transformed on 2d coordinate plane for the purpose of signal recognition and classification.
将一维信号变换到二维坐标平面往往更有利于描述信号的时变特征，从而实现信号的分类识别。
The time - varying properties can be extracted better when signal being transformed on 2d coordinate plane for the purpose of signal recognition and classification.
将一维信号变换到二维坐标平面往往更有利于描述信号的时变特征，从而实现信号的分类识别。
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