基于改进动态时间规整和一维曲线段弹性匹配的联机手写签名鉴别。
Online signature verification based on improved dynamic time warping and the elastic matching of 1d curve segments.
然后计算训练序列与标准步态模型之间的动态时间规整距离，确定阈值。
Thresholds are determined by dynamic time warping (DTW) distance between training sequences and standard model.
最后，输入测试序列，计算动态时间规整距离并与阈值比较，识别人体的步态。
Finally, gait recognition is performed by comparing DTW distance of testing sequences with predetermined threshold.
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 audio signal feature, in this scheme, is the LPC Mel Cepstrum Coefficient (LPCMCC) and recognition algorithm is Dynamic Time Warping (DTW).
系统硬件的核心芯片采用普遍使用的16位定点DSP芯片TMS320 VC 5416，软件上主要采用动态时间规整算法来实现语音识别。
TMS320VC5416 16-bit fixed-point DSP is adopted in its core processor of the hardware. Dynamic Time Warping (DTW) algorithm is chiefly used to implement the software.
系统硬件的核心芯片采用普遍使用的16位定点DSP芯片TMS320 VC 5416，软件上主要采用动态时间规整算法来实现语音识别。
TMS320VC5416 16-bit fixed-point DSP is adopted in its core processor of the hardware. Dynamic Time Warping (DTW) algorithm is chiefly used to implement the software.
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