完整的Floyd算法、dijkstra算法测试例程

这是一个用matlab实现遗传算法的程序，实例为深基坑桩锚支护结构的优化(THIS IS A MATLAB-BASED GA PROCEDURE.)

单变量的GPC模型预测控制算法，通过实例研究GPC的稳定性。(GPC single-variable model predictive control algorithm to study the stability of GPC by way of example.)

说明：  基于MIMO-OFDM的通信系统仿真，带注释。(Communication system simulation based on MIMO-OFDM, with notes.)

说明：  统计学的计算的matlab实现，大家可以好好学习学习了(Matlab achieve statistical calculations, we can learn from studying the)

工具箱主要功能: 1） 姿态向量、四元数、矩阵、滤波算法等各类子程序 2） 圆锥运动仿真 划船运动仿真 惯性器件随机误差仿真 3） Kalman滤波初始对准 基于惯性系初始对准 罗经法初始对准 大方位失准角EKF初始对准 大失准角UKF初始对准 速度+姿态传递对准 4） 纯惯性导航SINS仿真 航位推算、SINS/DR仿真 SINS/GPS组合仿真 GPS/BD/GLONASS单点伪距定位 SINS/GPS松/紧组合 POS正逆向数据处理与信息融合仿真 5）(Toolbox main functions: 1) attitude vector, quaternion, matrix, filtering algorithms and other subroutines 2) conical motion simulation rowing simulation inertial device random error simulation 3) Kalman filtering based on initial alignment of inertial gyrocompass initial alignment law initial alignment of large azimuth misalignment angle EKF initial Alignment of large misalignment UKF initial alignment speed+ attitude transfer Alignment 4) pure SINS simulation inertial navigation dead reckoning, SINS/DR simulation SINS/GPS Integrated simulation of GPS/BD/GLONASS pseudoranges single point positioning SINS/GPS loose/tight combination of forward and reverse POS data processing and information fusion simulation 5))

Matlab编写的移不变稀疏分解程序 ,求得对应于不同源信号的基，可实现信号特征提取(The shift invariant sparse decomposition program written by Matlab can obtain the basis of the signal corresponding to the homologous signal, and the signal feature extraction can be realized.)

说明：  基于简单萤火虫算法设计的例程，选择了几个测试函数进行算法搜索结果的检验(Routine design based on simple firefly algorithm. The contents, mathematical model and algorithm design of simple firefly algorithm.)

基于MATLAB的显示误差递变的线性神经元源程序，希望能够帮助大家-error shows the linear movements of neurons source, we hope to help

Windows扫雷源代码.rar Windows扫雷源代码.rar(Windows mine the source code. Rar Windows mine the source code. Rar)

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)