语音信号的三阶累积量通常不等于零，因而可以用来检测噪声环境中语音的起始点和终止点。
Third-order cumulants of speech signals are not identically zero, so it could be used to detect the start point and end point of the voice under very noisy environments.
语音信号的端点检测技术就是从包含语音的一段信号中准确地确定语音的起始点和终止点，区分语音和非语音信号。
The endpoint detection technology of speech signal is to accurately determine starting point and ending point from a section of speech signal. Thus it can distinguish speech and non-speech signal.
本文目的是通过采集书写过程中笔杆的加速度等动态特征，得出笔画书写的起始点、终止点和笔画轨迹等笔画的基本信息，建立笔画动态特征模型。
In this paper it is presented to acquire acceleration information of handwriting, to get basic stroke information of start point, end point and trace, and to create dynamic feature model of strokes.
本文目的是通过采集书写过程中笔杆的加速度等动态特征，得出笔画书写的起始点、终止点和笔画轨迹等笔画的基本信息，建立笔画动态特征模型。
In this paper it is presented to acquire acceleration information of handwriting, to get basic stroke information of start point, end point and trace, and to create dynamic feature model of strokes.
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