WAVEquzaoheyasuo

模拟从二维余弦 到量化 到分割 到Z处理的过程(simulate the process of dct quantization divide and zigzag the inverse process)

用MATLAB实现SOM算法改进，非常实用的程序！可以直接使用的！(SOM algorithm using MATLAB to achieve improvements, a very useful program! Can use!)

matlab-sor实现matlab上的sor迭代法(Matlab- sor achieve the Matlab sor iterative method)

利用matlab语言，设计带通滤波器，对声信号进行滤波处理，除去环境噪声。(Using matlab language, designed bandpass filter, the acoustic signal filtering to remove noise.)

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.)

This paper investigates the generalized Pars ’s theorem of fractional Fourier transform (FRFT) for concentrated data. Also, in the framework of multiple FRFT domains, Pars ’s theorem reduces to an inequality with lower and upper bounds associated with FRFT parameters, named as generalized Pars ’s theorem by us. These results theoretically provide potential valuable applications in filtering, and examples of filtering for LFM signals in FRFT domains are demonstrated to support the derived conclusions

计算十字叉丝的在不同距离的衍射图像,实现典型相关分析，利用matlab GUI实现的串口编程例子。( Calculation crosshairs diffraction image at different distances, Achieve canonical correlation analysis, Use serial programming examples matlab GUI implementation.)

为了得到具有一般相关量测噪声线性系统的递推滤波算法, 将该问题转化为具有相关量测 单值随机向量的滤波问题,根据单值随机向量的线性无偏最小方差估计算法,导出了量测噪声为一 般相关鞅差序列的线性系统的最优递推状态估计滤波算法.通过数值仿真,将该算法与假定量测噪 声不相关时的Kalman 滤波算法进行了比较,证明了该算法的有效性(In order to obtain the recursive f i ltering alg orithm for a linear system w ith general correlat
ed measurement noises, the problem is t ransformed to that of filtering for a single random vector w ith correlated measurements. According to the linear unbiased minimum variance estimation algorithm for a single random vector, a recursive filtering algori thm is presented. A digital simulat ion technique is used such that the new algorithm can be compared w i th the Kalman f i ltering algorithm, assuming that the measurement noises are uncorrelated. Validi ty of the proposed algorithm is thus proved)

This is a Hybrid PSO GSA Aigorithm.A new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). The main idea is to integrate the ability of exploitation in PSO with the ability of exploration in GSA to synthesize both algorithms’ strength. Some benchmark test functions are used to compare the hybrid algorithm with both the standard PSO and GSA algorithms in evolving best solution.

正交频分复用技术的MATLAB软件模拟仿真(Orthogonal frequency division multiplexing of the MATLAB simulation software)