TIMIT-Speech-Database

本程序使用可以用来阅读地震勘探数据，数据格式要求是SEGY(This program can be used to read SEGY profile)

matlab与VB接口的例子，老外写的，很详细(VB interface with matlab example, written by a foreigner, in great detail)

The alamouti coding ABER curve generator...

autoregressive moving average model grade 1,1

signals and systems matlab codes

说明：  偏最小二乘法中的交叉有效性计算的matlab程序，怎么计算出来的预测误差平方和PRESS不太对，偏大；()

增广最小二乘的递推算法对应的噪声模型为滑动平均噪声，扩充了参数向量和数据向量H（k）的维数，把噪声模型的辨识同时考虑进去。最小二乘法只能获得过程模型的参数估计，而增广最小二乘法同时又能获得噪声模型的参数估计，若噪声模型为平均滑动模型，，则只能用RELS算法才能获得无偏估计。当数据长度较大时，辨识精度低于极大似然法。(Augmented least squares of recursion algorithm corresponding noise model for moving average noise, expanded parameter vector and data vector H (k) of the dimension, the noise model identification and at the same time into consideration. Least square method can only obtain process model parameter estimation, and augmented least squares method at the same time can obtain noise model parameter estimation, if noise model for the average sliding model,, it can only use RELS algorithm to obtain unbiased estimation. When the data length is bigger, the identification accuracy is lower than maximum likelihood method.)

最优化算法中的对角二阶拟柯西法的源码，matlab编程实现，希望对大家有用。(Optimization algorithm proposed Cauchy method of source angular second Matlab programming, and hope to be useful.)

张小飞《阵列信号处理与应用》所附matlab程序(Zhang Xiaofei " array signal processing and applications" annexed matlab program)

Multiple kernel learning is a model to merge multiple kernels by linear combination. Mostly solving the models are slow due to explicit computation of kernels. Here, we propose to approximate kernel map function explicitly in finite dimensional space. Then, we use dual coordinate descent to solve the SVM. By storing the solutions in primal, we do not have to compute the kernel explicitly. A group lasso regularization on kernel weights is solved with SVM alternatingly. This is a side-project in my research projects with Dr. Yi-Ren Yeh and Dr. Frank Wang in Academia Sinica.