radar-imaging

混沌保密通信的最新进展,混沌保密通信的最新进展(Chaotic secure communication of the latest developments in chaotic secure communication of the latest progress)

说明：  example of forward solution for rotating different kind of figure

Implementation of Heuler methods. Implicit, Explicit and Simplex Versions. In Matlab. Approximates the solution of an expression. Includes plotting routines.

说明：  edge detectoin using wavelet transform built in matlab for beguners and comprisions also.....

数学建模案例MATLAB实用程序百例，其中包括了matlab的入门教学，与一些经典的例子（包括源代码）。(Mathematical modeling case MATLAB utility 100 cases, including teaching matlab entry, with some classic examples (including source code).)

运通卡尔曼滤波器函数以及最小二乘法，对图像进行滤波，并将两种结果进行比较(Express and least squares method, kalman filter function of image filtering, and comparing the two results)

说明：  massive mimo multiwave

这个程序是我做“化工过程综合与优化”课程设计时编写的。主要用于换热器设计的计算，含有注释。 (This code can be used to design the heat exchanger.)

说明：  分层模型的1553B总线通用软件模块的设计1553B bus, hierarchical model design of generic software modules(1553B bus, hierarchical model design of generic software modules)

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)