glcm-founder

matlab神经网络43个案例分析源码11，关于连续Hopfield神经网络的优化—旅行商问题优化计算 (matlab neural network source code 11 43 case studies, optimization on a continuous Hopfield neural network- the traveling salesman problem optimization)

16QAM通过带限信道，设码元速率为1000波特，传输的滚降系数是0.75的滚降升余弦滤波器(16QAM by band-limited channel, set the symbol rate is 1000 baud, roll-off factor of transmission is 0.75 rolloff raised cosine filter)

HYSTERESIS PLOTTING FROM MATLAB Example case: a very simple case with MATLAB as the graphical output interface. WARNING * This case only works if you use the Compaq/Intel Fortran Compiler.

Simple demo of sift from mr Lowe

自组织特征映射模型(Self-Organizing feature Map)，认为一个神经网络接受外界输入模式时，将会分为不同的区域，各区域对输入模式具有不同的响应特征，同时这一过程是自动完成的。各神经元的连接权值具有一定的分布。最邻近的神经元互相刺激，而较远的神经元则相互抑制，更远一些的则具有较弱的刺激作用。自组织特征映射法是一种无教师的聚类方法。(Self-organizing maps model (Self-Organizing feature Map), that a neural network to accept outside input mode, will be divided into different regions, the regional input modes have different response characteristics, while the process is done automatically . The connection weights of neurons with a certain distribution. Nearest neurons stimulate each other, while distant neurons are mutually inhibitory, with a further some of the weaker stimulus. Self-organizing feature map method is a clustering method without teachers.)

实现dsb、ssb和Am调制信号，很简单，可以在输入屏处按键控制(Achieve dsb, ssb, and modulated signals Am)

1、画出函数y=x*sin(x) 2、用曲面表示z=x^2+y^2 3、创建n阶魔方矩阵，n能被4整除 4、三维图形影片动画 5、画出N=100，p=0.5情况下二项分布的概率 特性曲线(1, draw the function y = x* sin (x) 2, using surfaces to describe z = x ^ 2+ y ^ 2 3, create a cube matrix of order n, n be divisible by 4 4, 3D graphics, animation film 5, draw N = 100, p = 0.5 case, the binomial probability curve)

在Matlab中设计GUI，按下相应的按钮，实现IIR高通滤波器和IIR低通滤波器的功能，并保存实验结果。(Design of GUI in Matlab, press the corresponding button, the realization of IIR high pass filter and IIR low-pass filter function, and save the experimental results.)

Spatially multiplexing several data streams onto the MIMO channel,the rank of the matrix H and with full rank.

稀疏主成分算法函数，内有详细的算法使用说明(SPCA function)