机载雷达空时二维处理的方向图 a1

实现有效的学习算法 的稀疏贝叶斯模型，即稀疏贝叶斯matlab工具箱("SparseBayes" is a package of Matlab functions designed to implement an efficient learning algorithm for "Sparse Bayesian" models. The "Version 2" package is an expanded implementation of the algorithm detailed in: Tipping, M. E. and A. C. Faul (2003). "Fast marginal likelihood maximisation for sparse Bayesian models." In C. M. Bishop and B. J. Frey (Eds.), Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, Key West, FL, Jan 3-6. This paper, the accompanying code, and further information regarding Sparse Bayesian models)

join contourlet RGB..

matlab时频分析工具箱，里面涵盖了大多数能用到的相关函数程序。(matlab time-frequence analysis tools box.)

此程序主要用于处理轴承和齿轮故障，先进行傅里叶变换，然后在信号频域内做频谱自相关，通过频谱自相关，可以识别频谱中的周期性调制信息(This procedure is mainly used for processing the bearing and gear failure, Fourier transform first, and then the signal in the frequency domain spectrum autocorrelation, through spectrum autocorrelation, can identify the periodic modulation in the spectrum of information)

说明：  These are the source codes for training the neural networks with various kinds of training functions and for various kinds of inputs and alongwith there is important code also explaining difference between various kind of images like color gray b/w yuv ycbcr etc..

argox cp-3140的Visual C#测试用例。(argox cp-3140 Visual C# test example。)

this program is made in matlab for executing

本代码应用FDTD 方法模拟微带带阻滤波器，并得到S11，S12 曲线以及显示电磁波在空间的传播。频率范围为0-20GHz。微带基片的相对介电常数为6.15，厚度是1.27mm。(Application of FDTD method to simulate the code microstrip band-stop filter, and get S11, S12, and the curve shows the spread of electromagnetic waves in space. Frequency range of 0-20GHz. Microstrip substrate relative dielectric constant of 6.15, the thickness is 1.27mm. )

用matlab编写的程序，建立经典模型，解决车间调度通用问题，(Matlab prepared using the procedure, the establishment of the classical model, to solve general shop scheduling problem,)

matlab程序，对图像做选取3*3矩阵的8邻域与中心特征值的像素差，然后按照不同的方式滑动(matlab program, the selected pixels of the image to make the neighborhood and the center differential 8 eigenvalues ​ ​ 3* 3 matrix, and then slide in different ways)