GPlabdocument

RBF神经网络用于分类与回归，提供了一个学习神经网络的平台，对大家有很大帮助。(RBF neural network for classification and regression, neural networks provide a learning platform for all of us much help.)

光通过透镜后的3D光强分布，xz平面，默洛尔函数写的(Light through the lens of the 3 D light intensity distribution )

说明：  模糊c均值（fcm）实现无监督聚类算法，经本人尝试，程序可以正常运行(Fuzzy C-means (FCM) to achieve unsupervised clustering algorithm, I try, the program can run normally)

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)

least square system identification

模式识别中的bayes判别分析算法，进行逐步线性回归，小波包分析提取振动信号中的特征频率。( Pattern Recognition bayes discriminant analysis algorithm, Stepwise linear regression, Wavelet packet analysis to extract vibration signal characteristic frequency.)

大学生数学建模竞赛2003年A题SARS传播题的Matlab代码(Mathematical Contest in Modeling spread of SARS in 2003 entitled A Question Matlab code)

说明：  mimo 中stbc 仿真程序 已验证成功(mimo in the simulation program has been successfully verified stbc)

说明：  值得深刻阅读的基于CP的OFDM同步程序 这是一个非常好的用于OFDM的基于CP的 最大似然符号定时同步和载波同步的MATLAB仿真程序，经本人深入阅读吸收经典文献，反复编程调试而提炼而成，代码精炼有序，绝对没有错误，由此程序仿真得到的同步曲线与经典文献完全一致。同仁们阅读此程序一定受益匪浅！ 这里不吝成果，特上载与诸位网友共享。也欢迎同仁们提供更多的优秀程序。 由于文献要求采用N＝1024个子载波的OFDM，运行此程序需2分钟－3分钟的时间。 (Worthy of profound reading of the CP-based OFDM synchronization process this is a very good CP for OFDM-based maximum likelihood symbol timing synchronization and carrier synchronization of the MATLAB simulation program, after I read the absorption of classical literature in depth, repeated programming and debugging extracted from the symbol of refined and orderly, there is no error, this procedure has been synchronized simulation curve is fully consistent with classical literature. Tongren have read this procedure will definitely benefit! Spared the outcome here, especially to upload to share with you friends. Tongren also welcome to provide more excellent program. Documentation required as a result of N = 1024 sub-carrier OFDM, to run this process will take 2 minutes-3 minutes.)

MATLAB实现语音去噪处理，测试已经通过了(Speech Denoising MATLAB realize treatment, testing has been adopted)