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MATLAB程序 1：MUSIC 算法MATLAB程序 2：ESPRIT 算法MATLAB程序 3：Root-MUSIC算法MATLAB程序 4：面阵中二维角度估计 Unitary -ESPRIT算法MATLAB程序 5：空间平滑MUSIC算法的MATLAB程序 6：角度和时延联合估计（JADE）算法MATLAB程序 7：传播算子DOA估计算法MATLAB程序 8：基于增广矩阵束的L型阵列的二维DOA估计MATLAB程序 (MATLAB program 1: MUSIC algorithm MATLAB program 2: ESPRIT algorithm MATLAB program 3: Root-MUSIC algorithm MATLAB program 4: two-dimensional planar array of point estimates Unitary-ESPRIT algorithm MATLAB program 5: spatial smoothing MUSIC algorithm MATLAB program 6: Joint angle and delay estimation (JADE) algorithm MATLAB program 7: The propagator DOA estimation algorithm MATLAB program 8: Based on the augmented matrix of the L-shaped beam of two-dimensional array, DOA estimation MATLAB program)

一个风力发电系统的最大功率跟踪matlab仿真(The maximum power tracking of a wind power generation system)

fft算法实现，通过matlab语言实现对fft算法的变成实现(solve fft)

基于泰勒技术展开的自适应滤波函数的图像处理，可实现去噪，超分辨率，去除马赛克等(Taylor expansion based on adaptive filtering techniques of image processing functions can be realized denoising, super resolution, remove mosaic)

带交叉因子的粒子群优化算法matlab源程序(Cross-factor with particle swarm optimization algorithm matlab source)

对图像进行纹理分析，分几个方向进行的处理。matlab程序(right image texture analysis, in several directions at the moment. Matlab procedures)

一个很好的残差重采样粒子滤波算法，Matlab代码(A good residual resampling particle filter algorithm, Matlab code)

全双工中继，不同距离下，画FD、HD和直接传输的时间比(full-duplex relayDifferent distance, painting FD, HD and direct transmission time than)

说明：  matlab的一个人脸识别系统 包括gabor，pca，ica的源码(matlab a face recognition system includes gabor, pca, ica source)

This is a simple demo, solving a simple regression task using LS-SVMlab. A dataset is constructed in the right formatting. The data are represented as matrices where each row contains one datapoint. In order to make an LS-SVM model, we need 2 extra parameters: gamma (gam) is the regularization parameter, determining the trade-off between the fitting error minimization and smoothness of the estimated function. sigma^2 (sig2) is the kernel function parameter of the RBF kernel. The parameters and the variables relevant for the LS-SVM are passed as one cell. This cell allows for consistent default handling of LS-SVM parameters and syntactical grouping of related arguments.