At last, optimization DTW algorithm is used to realize dynamic hand gesture recognition.
最后，采用优化的DT W算法实现了特定动态手势的识别。
The results from the simulation show that the improved DTW algorithm can reduce the amount of data to be processed and recognizing time effectively and provide a better performance.
实验结果表明采用改进后的DT W算法有效的降低了待处理数据量和识别时间，提高了系统的运行速度。
By theoretical analysis and experimental testing it proves that the ant colony algorithm used in this system can raise the recognition rate and is more efficient than traditional DTW algorithm.
经过理论分析与实验测试，证明了蚁群算法在这个系统中比传统的DT W算法更能提高识别率且更有效率。
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。
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 paper proposes an online handwriting signature verification algorithm with signature energy as feature based on dynamic time warping (DTW).
提出了一种基于DTW匹配的以签名能量为特征的在线手写签名验证算法。
Both analysis and experiments show that the recognition time is proportional to the square of the length of the feature vector, if dynamic time warping (DTW) algorithm is employed in recognition.
分析和实验结果表明：若采用动态时间规正算法(DTW)，识别时间与特征矢量长度的平方成正比关系。
In order to improve the efficiency of filtering algorithms for time series data stream, this paper proposes a new more efficient streaming time series query filtering algorithm for DTW.
目的设计基于DTW的高效过滤算法，提高时间序列数据流的过滤查询的效率。
In order to improve the efficiency of filtering algorithms for time series data stream, this paper proposes a new more efficient streaming time series query filtering algorithm for DTW.
目的设计基于DTW的高效过滤算法，提高时间序列数据流的过滤查询的效率。
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