stk

文章展示了基于高斯混合模型的语音频谱预测方法。频谱预测可能在传包过程中预防丢包这方面起到大作用。期望最大化算法用两倍或三倍的连续语音因素来测试模型。模型被用来设计第一，儿等指令预测量。预测表用频谱分配状态来估计并和一个简单的参考模型对比。最好的预测表得到一个平均频率扭曲值是0.46dB小于参考模型(This paper presents methods for speech spectrum prediction based on Gaussian mixture models. Spectrum prediction may be useful in a packet transmission system where the sensitivity to packet losses is a major problem. Models of speech are trained by the Expectation Maximization algorithm using pairs, triples etc. of consecutive cepstral vectors. The models are used to design first, second etc. order predictors. The prediction schemes are evaluated using the spectral distortion criterion and compared to a simple reference method. The best prediction scheme obtains an average spectral distortion that is 0.46 dB less than for the reference method. )

boost model for dc to dc conversion

加州大学的MATLAB人脸识别代码，采用了图像结构模型，可以很好地识别人脸(University of California MATLAB code for face recognition, using the image structure model, can be a good face recognition)

利用背景预测方法进行弱小目标检测，取得了比较好的效果。是用源图像减掉了背景得到残差图像进行检测的(dim target tetection using background prediction method)

说明：  可以用于训练数据得到HMM的三大参数A,B,Pi矩阵(Can be used to train data to get the three parameters A, B, Pi matrix of HMM)

This function links edge points together into lists of coordinate pairs. Where an edge junction is encountered the list is terminated and a separate list is generated for each of the branches.

matlab的经典教程，初学者必备，内容繁多，一般用于查阅。(matlab tutorial.)

说明：  加速度计的BS2源程序 简单易学 由parallax公司提供(The BS2 source programme of accelerator)

algorithme genitique

该源码是基于matlab编写Asaoka算法，用于高速铁路沉降预测(The source code is written in matlab Asaoka based algorithm for high-speed railway settlement prediction)