FastICA_25

说明：  神经网络实例集。包括以下几个程序单层线性神经网络实例、感知器神经元解决较复杂输入向量的分类问题、基于感知器神经网络处理复杂的分类问题、数值分析程序matlab-GUI、用BP网络完成函数的逼近源程序、自组织特征映射应用实例(Examples of neural network sets. Procedures include the following examples of single-layer linear neural network, perceptron neuron input vector to solve more complex classification problems, based on the perceptron neural network to deal with complex classification problems, numerical analysis matlab-GUI, using BP network function source approximation, self-organizing feature map application)

Rayleigh fading channel with Alamouti Space Time Block Coding

连杆机构的MATLAB运动仿真，连杆机构的MATLAB运动仿真(Linkage MATLAB motion simulation, motion simulation of MATLAB linkage)

利用分布傅立叶方法来求解非线性薛定谔方程(Distribution of the Fourier method to solve the nonlinear Schrodinger equation)

adaptive relaying technique its compared two relay types and subcarriers matching.

自己编写的随机子空间算法，可以用作参考，希望对大家有所帮助(Random subspace algorithms I have written, can be used as a reference)

说明：  多焦点图像融合 利用基于双边梯度的锐化标准 相当对应的论文是J. Tian, L. Chen, L. Ma and W. Yu, "Multi-focus image fusion using a bilateral gradient-based sharpness criterion,"(This is a demo program of the paper J. Tian, L. Chen, L. Ma and W. Yu, "Multi-focus image fusion using a bilateral gradient-based sharpness criterion," Optics Communications, Vol. 284, Jan. 2011, pp. 80-87.)

采用倒谱分析进行基因检测，程序内有详细的标注。(Cepstrum analysis using genetic testing, procedures detailed within the mark.)

使用matlab进行矩阵的高斯分解,可以对高阶线性方程进行数值求解(use Matlab for Gaussian decomposition of the matrix, the high-order linear equations were solved numerically)

两个matlab编写的图像分割算法，分水岭和模糊C均值聚类算法(matlab codes, watershed algorithm and fuzzy C means clustering algorithm)