搜索资源列表
DTW
- Dynamic Time Warping Function in MATLAB
dtw
- Dynamic Time Warping scr ipt
dtw
- 动态时间规整程序,Matlab编写,用于两个序列的对齐-Dynamic time warping process, Matlab to prepare for the alignment of two sequences
dp
- dynamic time warping source code
Speech_DTW
- this is a matlab code for computing DTW(dynamic time warping) for speech processing applications.
DTW
- 时间规整函数，从Matlab修改过来，在XP环境下调试成功-Time warping function, changes come from the Matlab, in the XP environment to debug the success of
TemplateMatchingProgram
- 这是模式识别中模板匹配内容的Matlab例程，其中edit_distance程序用来计算两个符号字符串间的编辑距离； back-tracking程序是“回溯”法画出最佳路径的代价网格； Dtw-Sakoe.m程序是具有Sakoe-Chiba局部路径约束的动态时间弯 折。-This is a pattern recognition template matching the content of Matlab routines, which edit_distance proce
dtwpp
- 动态时间规整的一个应用实例，能够运行，希望对大家有用-Dynamic time warping, an application instance, can run, we want to be useful
DTW
- DTW（Dynamic Time Warping，动态时间归整）算法，该算法基于动态规划（DP）的思想，解决了发音长短不一的模板匹配问题，是语音识别中出现较早、较为经典的一种算法。-DTW (Dynamic Time Warping, Dynamic Time Warping) algorithm based on dynamic programming (DP) ideas, to solve the pronunciation of different lengths of the temp
DTW
- DTW（Dynamic Time Warping，动态时间归整）算法，该算法基于动态规划（DP）的思想，解决了发音长短不一的模板匹配问题，是语音识别中出现较早、较为经典的一种算法。用于孤立词识别，DTW算法与HMM算法在训练阶段需要提供大量的语音数据，通过反复计算才能得到模型参数，而DTW算法的训练中几乎不需要额外的计算。所以在孤立词语音识别中，DTW算法仍然得到广泛的应用。 -DTW (Dynamic Time Warping, dynamic time warping) algorithm
tdm04
- dynamic time warping
9783540740476-c1
- dynamic time warping
10.1.1.23.6686
- dynamic time warping
dtw1
- Speech recognition with discrete time warping
cdtw
- Continuous Dynamic Time Warping Algorithm using a Linear Interpolation Model,
matlab
- 全能MATLAB 可以运行多种功能，十分方便，界面清晰-Similarity measure and topology evolution of foreign exchange markets using dynamic time warping method: Evidence from minimal spanning tree
dtw2
- 动态时间规整matlab函数、动态时间规整matlab函数 -Dynamic time warping of the matlab function
Time-warping
- 一种校正色谱保留时间漂移的方法。 效果还是挺好的。-A correction method of chromatographic retention time drift. The effect is quite good.
Correlation based dynamic time warping of multivariate time series
- For detailed descr iption please check: http://www.abonyilab.com/software-and-data
Dynamic-Time-Warping
- If you pass in 2 vectors it returns the unnormalized distance between the vectors, the accumulated distance between them, the length of the warping path (the normalizing factor), and the warping path points. To compare 2 vectors A and B call: