bayes_texte

这是关于数学物理不适定问题正则化解算法的Matlab源程序(This is on the ill-posed problems of mathematical physics is the source Matlab algorithm to resolve)

matlab神经网络，用于数据拟合及数据模拟预测(matlab neural network for data fitting and data simulation and prediction)

南信大系统模拟与仿真的考试程序，其中一个题目，任课老师是袁老师哦(failed to translate)

说明：  果蝇算法性能测试函数，用于对算法优化进行相关测试，代码简洁，并进行了封装(The performance test function is used to test the algorithm optimization. The code is concise and encapsulated.)

this file present one of the most popular way to calculate dijkstra distance presentation, especialy for 3D triangulation mesh.

A ContextWrapper that allows you to modify the theme from what is in the wrapped context.

风险过程概率分布数值算法，金融预测，计算数值的比较 (probability distributions)

matlab经典程序设计变量基本运算法教程matlab classic programming variable tutorial basic algorithms(matlab program design variables classic basic algorithms tutorial matlab classic programming variable tutorial basic algorithms)

这个包实现了ITU - T的G.723.1语音编码器和解码器在Matlab。该方案的目标是提供一个良好的记录和模块化设计方案，实验和研究，以方便使用为基础的实际编码器。 编码器实现了G.723.1的多脉冲模式（在6.3 kb / s的运行）。解码器可以解码的5.3 kb / s的，在6.3 kb的多脉冲/秒，连续传输，数据包丢失隐藏）编码器（所有的ACELP方式。 该编码器和解码器之间的标准接口是位文件（同位文件由ITU - T参考代码产生兼容）。第二个选项之间传递的编码器和解码器使用Matlab的数据信息文件。此选项允许测试通过传递量化或unquantized之间的编码器和解码器的信息。 有报道[1]描述了G.723.1编码与Matlab实现与分布包括在内。 ITU - T建议G.723.1的[2]在线提供。该建议含(This package implements the ITU-T G.723.1 speech coder and decoder in Matlab. The goal of the package is to provide a well-documented and modular program that was designed to facilitate experimentation and research using a practical coder as a base. The coder implements the multipulse mode of G.723.1 (running at 6.3 kb/s). The decoder can decode all modes of the coder (ACELP at 5.3 kb/s, multipulse at 6.3 kb/s, discontinuous-transmission, packet loss concealment). The standard interface between the coder and decoder is a bit file (compatible with the bit files generated by the ITU-T reference code). A second option passes information between the coder and decoder using a Matlab data file. This option allows for testing by passing quantized or unquantized information between the coder and the decoder. A report [1] describing the G.723.1 and the Matlab implementation is included with the distribution. ITU-T Recommendation G.723.1 [2] is available on-line. The recommendation incl)

A Web Based Clustering Analysis Toolbox (WBCA) Design Using MATLAB