a6cf72585f1b

实现有效的学习算法 的稀疏贝叶斯模型，即稀疏贝叶斯matlab工具箱("SparseBayes" is a package of Matlab functions designed to implement an efficient learning algorithm for "Sparse Bayesian" models. The "Version 2" package is an expanded implementation of the algorithm detailed in: Tipping, M. E. and A. C. Faul (2003). "Fast marginal likelihood maximisation for sparse Bayesian models." In C. M. Bishop and B. J. Frey (Eds.), Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, Key West, FL, Jan 3-6. This paper, the accompanying code, and further information regarding Sparse Bayesian models)

详细介绍了matlab插值与拟合方法，包括拉格朗日多项式插值、牛顿插值、分段线性插 值、Hermite 插值和三次样条插值和曲线的最小二乘拟合、多项式拟合方法、最小二乘优化所有程序均有相应的说明与应用实例(Details of the matlab interpolation and fitting methods, including Lagrange polynomial interpolation, Newton interpolation, piecewise linear interpolation Value, Hermite interpolation and cubic spline interpolation and least-squares curve fitting, polynomial fitting method, least squares optimization program has all the appropriate instructions and application examples)

下面是5 MATLAB文件。 1。readsounds。米,用于读取数据 2。sep.m,一个学习通过数据的代码 3。sepout。米,可选的文本输出 4。wchange。米,体重变化的大小和方向 5。sep.run,2 - > 2分离的示例脚本(Below are 5 MATLAB files. 1. readsounds.m, for reading the data in 2. sep.m, the code for one learning pass thru the data 3. sepout.m, for optional text output 4. wchange.m, tracks size and direction of weight changes 5. sep.run, an example script for 2->2 separation )

Weighted covariance function. Allows to give more weight on recent observations.

matlab kuopin 讲的是如何产生DS扩频序列，通信领域的朋友可以(matlab kuopin talking about how the DS spread spectrum sequence, communication can be a friend)

语音编码，g7.22协议程序很难找的。希望能给使用的人予以帮助 (Speech Coding, g7.22 agreement procedure of hard to find. Hope that they will be used to help people)

支持向量机工具箱 可以借助此工具箱完成很多信号的处理(failed to translate)

一个关于瀑布图的matlab源程序，该程序尽供学习与研究使用(A waterfall chart matlab source code, the program do for learning and research use.)

多重分形领域中Hurst指数的计算及主程序运行(Multifractal field Hurst exponent calculation and main run)

极化SAR图像分类数据，数据为T矩阵，为原始数据部分图像，包括free分解后数据以及各分量数据(Polarization SAR image classification data, data for the T matrix, part of the image to the original data, including the breakdown of free data and each component of the data)