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神经网络理论与MATLAB7实现_0 一本好书(Neural Network Theory and MATLAB7 achieve _0 a good book)

说明：  基于Pca的人脸自动识别源码 采用orl人脸库 最后出现识别数目(Automatically identify the source of Pca-based face orl face database last identification number)

说明：  Matlab神经网络工具箱应用简介,简要介绍在MATLAB里圣经网络工具箱的安装\使用和设置(Matlab neutral network toolbox )

幂律分布的matlab工具箱，幂律的检验和数据序列的绘图。非常好用(Matlab Tool of Pow law distribution, determination and plot)

蚁群算法,这里只有关键的算法函数，并不包括主函数。其中ACATSP为蚁群算法的关键函数。G2D是一个辅助函数，绝大多数蚁群算法源码不包括这个函数。另外还有一个画图的函数。(ant algrithm)

对matlab初学者很有帮助，尤其是simulink的爱好者。(Matlab helpful for beginners, especially the simulink lovers.)

通过给出的随机过程，该随机过程是由3个实正弦信号组成，归一化频率分别为0.1,0.25,0.27，其中相位是相互独立在【0,2*pi】上分布的随机相位；噪声是均值为0、方差为1的实高斯白噪声，信噪比为30db,30db,27db,观测样本数为N，通过bartlett法，Welch法，周期图法计算随机过程的概率谱(Given by stochastic process, the stochastic process is composed of three real sine signal, the normalized frequency were 0.1, 0.25, 0.27, including phase is independent in [0, 2* PI] on the distribution of random phase Noise variance is the mean to 0, 1 real gaussian white noise, signal to noise ratio of 30 db, 30 db, db, and the observation sample for N, by bartlett, Welch, periodogram spectrum method to calculate the probability of the random process)

说明：  将Argonaut数据写成nc格式的matlab函数(A function to write Argonaut water flow data to a NetCDF file)

集成了C代码和MATLAB的主成分分析代码，可以用这两种方法解决求取特征值和特征向量。(C code and MATLAB integrates principal component analysis code, you can use two methods to solve strike eigenvalues ​ ​ and eigenvectors.)

运用一种基于相位信息的2FSK与MSK的调制识别方法,来实现MSK与普通的2FSK的识别。通过计算机仿真表明,在SNRE10dB的条件下,该方法识别率达到了100 。 (Based 2FSK use and MSK modulation recognition phase information to achieve a common 2FSK MSK and identification. Through computer simulations show that, under SNRE10dB conditions, the recognition rate reached 100 .)