maincommand

说明：  基于核函数的偏最小二乘算法，先对原矩阵进行核函数非线性变化，再用非线性迭代求解(Kernel-based partial least-squares algorithm, first the original non-linear function of changes in the nuclear matrix, and then non-linear iterative solution)

mfcc用于求取训练样本的特征值，其需要melbankm和enframe两个程序。 enframe用于将语音分帧，melbankm用于产生mel三角滤波器组，vqlbg用于获取说话人码书，disteu程序用于计算两个矩阵间的距离，(mfcc strike eigenvalues ​ ​ for the training sample, which requires melbankm and enframe two procedures. enframe for the voice of the frame, melbankm used to produce the triangular mel filter bank, vqlbg codebook is used to get people talking, disteu procedures used to calculate the distance between two matrices,)

高阶盲均衡的MATLAB实现并绘出效果图(the implement of high-order blind equalization and its example)

matlab数学建模 （李昕）清华大学出版社 全书附带源码(The Chinese book of "Matlab Mathematics Modelling" from Tsinghua University Press original code.)

无线通信物理层信道建模，链路衰落，LDPC编码，OFDM，及智能天线等等关于物理层的码源(Wireless communication channel modeling the physical layer, link the decline, LDPC codes, OFDM, and smart antennas, and so the source code on the physical layer)

RNNSIM v.2 package contains a number of m-files for training and evaluation of the random neural network. All functions have been thoroughly tested. After downloading the separate files or the zipped file, make sure that they are stored or extracted in the directory /rnnsimv2 Below an overview of the files contained in this directory along with a brief description of what they do. The on-line help facility explains how to call the different functions. You simply write help <function-name> in the MATLAB command window. Along with the m-files in this directory you will find a manual for the simulator in PDF format (rnnsimv2.pdf). Start by printing this out and read the release notes. Two simple demonstration programs are given to illustrate how most of the functions work.

利用巴特沃斯滤波器，实现数字信号的频谱分析 ，包括幅值谱，相位谱，群延时谱(Spectrum analysis of digital signal)

网格法求解优化问题示例程序（MATLAB code）(Programmes by using grid method for solving optimization problems (MATLAB code))

tsp problem - nearest neighbor algorithm

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