LPS

基于四个移位寄存器的最小二乘递推算法辨识程序(Shift register based on the four identification procedures recursive least squares algorithm)

matlab程序工具包，可以替代matlab7中works文件夹以使用(matlab program kit, you can substitute matlab7 folder in the works to use)

多极值点函数,包含有多个极小值点，要找到全局最小值点。属于无约束条件静态随机搜索最优化问题，有详细注解说明。(More extreme value point function, contains multiple minimum points, to find the global minimum point. Static random search optimization problem belongs to the unconstrained conditions, there are detailed notes.)

说明：  尽管瑞利和莱斯分布确实能够在很多情况下对信号通过衰落信道后的包络进行很好的建模，然而，在实际的无线环境测试中，发现Nakagami分布提供了更好的与实际测试的匹配度。(Although Rayleigh and rice distribution can model the envelope of the signal after passing through the fading channel in many cases, in the actual wireless environment test, Nakagami distribution is found to provide a better match with the actual test.)

基于Matlab直线法分析同轴线电磁场分布(Matlab Analysis of the straight-line method based on electromagnetic field distribution of coaxial line)

prediction - neural network code

基于 DCT(离散余弦变换 )域的信息隐藏算法是目前应用最广的变换域算法 ,此类算法的最大不足是嵌信息量小。通过分析 DCT域隐藏算法隐藏容量少的原因 ,提出了一种大容量的 DCT域信息隐藏算法。算法首先对载体图像进行频谱均匀化处理 ,然后对图像进行全局 DCT变换 ,并将隐藏信息嵌入到载体图像的低频 DCT系数上 ,信息嵌入采用分段量化的方法实现 ,提取隐藏信息时不需要原始载体图像。实验结果表明 ,该算法的嵌入容量大 ,不可感知性好。(Based on DCT (discrete cosine transform) domain information hiding algorithm is the most widely used transform domain algorithms, the largest of these algorithms is the lack of a small amount of information embedded. Hiding Algorithm for DCT domain by analyzing the hidden reasons for the low capacity, a large capacity of information hiding algorithm for DCT domain. Firstly, the spectrum of the carrier image homogenization, and then the image is a global DCT transformation, and hidden information embedded into the image of the low-frequency DCT coefficients, the information embedded in the methods used to achieve sub-quantization, extract hidden information without the original Vector image. Experimental results show that the algorithm embedding capacity, can not be perceived good.)

对目标进行卡尔曼滤波，绘制出了该算法的跟踪效果、预测位置和更新位置的对比图、预测速度和更新速度的对比图。(Kalman filtering of targets drawn out of the tracking performance of the algorithm to predict the location and updated comparison chart position to predict the speed and update rate comparison chart.)

fem_matlab有许多基本程序，解答各种微分方程，这些都是在FEM中可能用到的。(fem_matlab There are many basic procedures, to answer a variety of differential equations, which are in the FEM may be used.)

plot graph in Mallab