simulink_k_m_c

说明：  几个网络的生成程序度，度分布，聚类数 (some net matlab show，degree degreedistrict)

用于分类的matlab工具箱，供大家学习交流(Matlab toolbox for classification ，We can exchange advices with it.)

杜宾算法求线性预测系数杜宾算法求线性预测系数(Durbin algorithm for linear prediction coefficient)

ICP version 2. Removes one to many correspondences.

经典的奇异值阈值算法用来解决矩阵填充问题,这是最新更新的版本(A singular value thresholding algorithm for matrix completion)

认知无线电中频谱感知的程序，宽带感知，EI期刊上的一篇论文(Spectrum sensing in cognitive radio program, broadband perception)

说明：  TD-SCDMA标准初稿（word版）和TD-SCDMA标准的MATLAB仿真程序(TD-SCDMA standard first draft (word version) and TD-SCDMA standard MATLAB simulation program)

感知器感知器算法训练二元线性分类器。结构体数据使用感知器学习规则 找到给定的二分类标签数据超平面。 (PERCEPTRON Perceptron algorithm to train binary linear classifier. Synopsis: model = perceptron(data) model = perceptron(data,options) model = perceptron(data,options,init_model) Description: model = perceptron(data) uses the Perceptron learning rule to find separating hyperplane from given binary labeled data. model = perceptron(data,options) specifies stopping condition of the algorithm in structure options: .tmax [1x1]... maximal number of iterations. If tmax==-1 then it only returns index (model.last_update) of data vector which should be used by the algorithm for updating the linear rule in the next iteration. model = perceptron(data,options,init_model) specifies initial model which must contain: .W [dim x 1] ... normal vector. .b [1x1] ... bias of hyperplane. .t [1x1] (optional) ... iteration number. Input: data [struct] Labeled (binary) training data. .X [dim x num)

matlab code for mesh pplot in matlab

微带天线在已知谐振频率下的结构尺寸计算，以及其3D辐射方向图的展示，还有E面H面的辐射图展示。学习微带天线的同学可以参考~(Size of the microstrip antenna in the calculation of the known resonance frequency, radiation pattern, and its 3D display, and H-plane radiation pattern in E-plane display. Students can learn microstrip antenna reference ~)