RD

概率神经网络(Probabilistic Neural Network)是由D.F.Speeht博士在1989年首先提出，是径向基网络的一个分支，属于前馈网络的一种。它具有如下优点：学习过程简单、训练速度快；分类更准确，容错性好等。从本质上说，它属于一种有监督的网络分类器，基于贝叶斯最小风险准则。(The rate neural network, first proposed in 1989, is a branch of the RBF network and is one of the feedforward networks. It has the following advantages: the learning process is simple, the training speed is fast, the classification is more accurate, the fault tolerance is good, and so on. In essence, it belongs to a supervised network classifier based on Bayesian minimum risk criteria.)

说明：  城市环境的过程式建模技术研究。。。。。。。。。。(The process of urban environment modeling technology research of)

matlab使用教程，适合初学者使用，容易上手(matlab using the tutorial, suitable for beginners to use, easy to use)

两部传感器，相互采用CA-CFAR性能分析，并比较了不同融合准则下的性能(Two sensors each other using the CA-CFAR performance analysis, and compare the performance of different fusion criterion)

这是电机设计的程序，根据输入的电机功能要求，按照一定的计算将电机平稳运行时的特性计算出来（永磁同步）。(This is the motor design process, according to the motor function of input requirements, calculated in accordance with the characteristics of certain motor running smoothly calculated (permanent magnet synchronous).)

说明：  ec627 speech processing course programs lab2

基于视觉诱发电位的脑电信号的频率和相位的检测，用于得到受试者的看到的数字。(SSVEP brain signal anlaysis codes. )

模拟两个相干的的窄带信号。阵列的阵元数为10，快拍数为200，信号入射方向分别为20°，60°，阵元间距为入射信号波长的1／2，信噪比为20dB。分别用MUSIC算法和改进MUSIC算法进行仿真。仿真结果如下图所示(MUSIC algorithm is improved compared with the simulation of signal coherent MUSIC algorithm. Two coherent analog narrowband signal. Array element number of the array 10, the number of snapshots 200, a signal incident directions, respectively 20 °, 60 °, array element spacing is 1/2 of the wavelength of the incident signal, SNR is 20dB. Respectively MUSIC MUSIC algorithm and improved algorithm simulation.)

说明：  使用波动方程有限差分模拟瑞雷波的传播，包括模拟和成像，可以更改检波器位置信息(surface wave modeling and display)

1. It is necessary you have defined on Matlab the X - data matrix. Size of matrix must be n-by-(1+p) sample=column 1, variables=column 2:p). And alpha - significance (default = 0.05). 2. For running this file it is necessary to call the rafisher function as PROFANA(X,alpha). Please see the help PROFANA. 3. Once you input the arguments, it will appears your results. ( 1. It is necessary you have defined on Matlab the X- data matrix. Size of matrix must be n-by-(1+p) sample=column 1, variables=column 2:p). And alpha- significance (default = 0.05). 2. For running this file it is necessary to call the rafisher function as PROFANA(X,alpha). Please see the help PROFANA. 3. Once you input the arguments, it will appears your results. )