shishi

用matlab编写的整数规划的程序。包括：用割平面法求解整数规划，用分支定界法求解整数规划，用枚举法（包括穷举法和隐枚举法）求解0－1规划(integer programming)

给出了利用matlab程序编写的脉冲星EKF仿真程序，对噪声进行时变分析(pulsars navigation EKF)

说明：  在OFDM系统中最经典的信道估计方法是LS算法，采用MATLAB对LS算法的性能进行了仿真(OFDM systems in the most classical channel estimation method is LS algorithm, the use of MATLAB on the performance of LS algorithm simulation)

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)

MATLABSimulink通信系统建模与仿真，OFDM系统里面的例子仿真分析 很好哦(Modeling and Simulation of MATLABSimulink communication system)

This pdf file contains steps to simulate a traction load in an area with varaiable speed control and traction operation mode and regenerative mode.

非线性误差曲面特性观察，用MATLAB实现BP网络模拟趋近(Observed non-linear error surface characteristics, network simulation using MATLAB tends to achieve BP)

我们假设我们的轨迹从原点（0,0）出发，终点B的坐标是（2,1）。通过Matlab就可以计算出边界条件，最终画出曲线。(We assume that our path from the origin (0,0) starting and ending coordinates of B are (2,1). Matlab can be calculated by boundary conditions, the final draw the curve.)

Linear algebra problems!

摄影定理原理 对测方图像 连续相对定向 并进行误差分析 单位权中误差(Photography theorem principle of the measuring square image is continuous relative orientation and error analysis of unit weight error)