Description: 语音端点检测，是语音压缩时提取特征参数的一个必要的过程，这个程序主要是对这个过程的一个小的程序。希望对学语音的有帮助-Extreme point detecting is a primily process to get the eigenparameter when you compressing the speech.This program is a small one,it will help for the learner. Platform: |
Size: 5120 |
Author:蔡志鹏 |
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Description: 基于重要点的PLR表示: 重要点被定义为在局部范围内的极值点，并且与端点的比值超过参数R。将重要点用线段连接，就得到了基于重要点的时间序列分段线性表示，通过选择不同的参数R，可以获得精细粒度不同的分段线性表示。-Based on the important points of PLR: Important points are defined as within the scope of local extreme points, and with the endpoint parameters than the ratio of R. The important points connected with line segments, we obtained time series based on important points, sub-linear representation. by choosing different parameters R, you can get fine granularity of different sub-linear representation. Platform: |
Size: 40960 |
Author:zhaozhikai |
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Description: Mahalanobis距離是一個可以準確找出資料分布上面極端值(Outliers)的統計方法,使用線性迴歸的概念,也就是說他使用的是共變數矩陣以及該資料分布的平均數來找尋極端值的產生,而可以讓一群資料系統具有穩健性(Robust),去除不必要的雜訊訊息,這邊拿前面共變數矩陣的資料為例,並且新增了兩個點座標向量來做Mahalanobis距離的比較-Mahalanobis distance is the information that can accurately identify the distribution of the above extreme values (Outliers) statistical methods, the concept of using a linear regression, meaning that he used the covariance matrix and the distribution of the information to find the extreme values of the average production of , but can allow a group of information systems with the robustness (Robust), removing unnecessary noise message here get in front of the data covariance matrix, for example, and added two points, coordinates of vectors to do comparison of Mahalanobis distance Platform: |
Size: 1024 |
Author:nip |
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