Detailed-matlab-signal-processing

运用四元数方法进行捷联惯性系统的姿态解算，并由加速度计的数据和陀螺的数据计算导航参数(The four element method for strapdown inertial navigation system of the attitude calculation, and the accelerometer and gyroscope data data computation of navigation parameters )

turbo码在simulink中的编译码、误码率分析的仿真。(the encoding and decoding of turbo codes in the simulink simulation, bit error rate analysis.)

利用电磁场的源激发方法来计算近场FDTD模拟点光源空间传播,用Matlab编写(The source of electromagnetic fields to stimulate the use of methods to calculate the near-field FDTD simulation of point light sources in space communication, prepared using Matlab)

说明：  珍藏版，可实现，新K均值聚类算法，分为如下几个步骤： 一、初始化聚类中心 1、根据具体问题，凭经验从样本集中选出C个比较合适的样本作为初始聚类中心。 2、用前C个样本作为初始聚类中心。 3、将全部样本随机地分成C类，计算每类的样本均值，将样本均值作为初始聚类中心。 二、初始聚类 1、按就近原则将样本归入各聚类中心所代表的类中。 2、取一样本，将其归入与其最近的聚类中心的那一类中，重新计算样本均值，更新聚类中心。然后取下一样本，重复操作，直至所有样本归入相应类中。 三、判断聚类是否合理 采用误差平方和准则函数判断聚类是否合理，不合理则修改分类。循环进行判断、修改直至达到算法终止条件。(NewK-means clustering algorithm ，Divided into the following several steps: A, initialize clustering center 1, according to the specific problems, from samples with experience selected C a more appropriate focus the sample as the initial clustering center. 2, with former C a sample as the initial clustering center. 3, will all samples randomly divided into C, calculate the sample mean, each the sample mean as the initial clustering center. Second, initial clustering 1, according to the sample into the nearest principle clustering center represents the class. 2, as this, take the its recent as clustering center of that category, recount the sample mean, update clustering center. And then taking off, as this, repeated operation until all samples into the corresponding class. Three, judge clustering is reasonable Adopt error squares principles function cluster analysis.after clustering whether reasonable, no reasonable criterion revisio)

this function use clustering to find out the RBF network centres

粒群算法寻找好绕过障碍一点到另一点的最优路径(Particle swarm algorithm for finding good around the obstacle one point to another point of the optimal path )

包含所有约束优化问题中涉及的matlab源程序。包含Rosen梯度法求解约束多维函数的极值，外点罚函数法解线性等式约束，外点罚函数法解一般等式约束，内点罚函数法，混合罚函数法，混合罚函数加速法，乘子法，坐标轮换法及复合形法(Contains all the constrained optimization problem involves matlab source. Contains Rosen gradient method for solving constrained multi-dimensional function extremum, external point penalty function method for solving linear equality constraints, external point penalty function method for solving general equality constraints, interior point penalty function method, mixed penalty function method, mixed penalty function acceleration method , multiplier method, the coordinate rotation method and complex method)

目前比较前沿的数值渐近法（Asymptotic Numerical Method）求解弹簧平衡路径算例，直接运行可得计算结果图象。(an example of Asymptotic Numerical Method solving two-dimension spring problem)

Matlab Tips and tricks

压缩感知可以用远低于奈奎斯特速率对信号进行采样，然后用重构算法对测量的信号进行重构，这程序就是CS的重构算法。(Compressed sensing can be used far less than the Nyquist sampling rate of the signal, and then use the measurement signal reconstruction algorithm to reconstruct this program is CS reconstruction algorithms.)