A1_4

应用四元数求导航角，采用了陀螺仪和加速度计信号。(navi_test)

说明：  （1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象； （2）将所有子图象按列相接变成一个81维的行向量； （3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量； （4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。 （5）求出所有子块的特征向量。 ((1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.)

关于粒子滤波关键技术研究,最新国内外文章(Particle filter on the research of key technologies, the latest article at home and abroad)

Statistical Signal Processing

说明：  在缺乏样本是的雷达信号处理方法，广泛用于自适应系统中(In the absence of the sample is radar signal processing method, widely used in adaptive systems)

matlab有限元分析1D杆结构，2D热扩散问题，2D弹性问题，2D梁受力问题(matlab finite element analysis of 1D bar structure, 2D thermal diffusion problem, 2D elasticity problems, 2D Beams problem)

在数字图像处理中，运用MATLAB中的函数lpc2mat可以实现图像的一维线性预测编码(In digital image processing, the use of the MATLAB functions lpc2mat can achieve the image of the one-dimensional linear predictive coding)

这是篇关于matlab环境下的数字滤波器的论文，基于Matlab的FIR滤波器设计及FPGA实现(This is a chapter on the environment matlab digital filter paper, based on Matlab for FIR filter design and FPGA implementation)

应用nlms自适应滤波算法进行回声消除的matlab程序，很简单。(application nlms adaptive filtering algorithms eliminate echoes of Matlab procedures, is very simple.)

this is matlab code to solve l1decode problem!!!