spll

Y.T.Chan在其论文中提出一种具有解析表达式解的非递归双曲线方程组解法，该算法具有计算量小，速度快，且当TDOA参数估计误差服从高斯分布的情况下，定位精度较高。 本程序借鉴Chan论文中提出的算法，基于MATLAB程序，在已知TDOA估计参数的情况下，对信号源位置进行估计。 希望能够对研究 干扰源定位、无源定位的同志提供帮助。(YTChan in his paper presents a solution with the analytical expression for the non-recursive solution of hyperbolic equations, the algorithm has calculated the amount of small, fast, and when the TDOA estimation error of Gaussian distribution in the case, positioning accuracy than high. The papers presented in the program learn from Chan algorithm, MATLAB-based program, known TDOA estimation parameters in the case, the signal source location estimates. Hope to the study of interference location, passive positioning of the comrades to help.)

MATLAB混合编程技术,COM（Component Object Model，组件对象模型）是以组件为发布单元的对象模型，是一系列面向对象技术和工具的集合。 (MATLAB program technology)

阵列信号处理中的角度和时延估计算法matlab程序。(this is a matlab about JADE_doa_MATLAB.)

说明：  已知一组数据,如何用matlab画出它的概率密度分布图,给出具体程序 并且得出分布图后,如何对图进行积分,进而得到分布函数(Given a set of data, how to draw it with matlab probability density distribution maps, specific procedures are given and draw maps, how points on the graph, and then by distribution function)

本程序是关于Newmark方法的Matlab编程，是比较简短的一个程序。(This program is on the Newmark method of the Matlab programming，it is a relatively short procedure.)

该程序是用ＭＡＴＬＡＢ对ＳＰＬＩＮＥ做的编程，对大家有所帮助，希望以后多多支持(that the procedure was used to SPLINE do MATLAB programming, we will help, hope that the generous support)

This is the file which simulates non inv amp

基于小波变换与神经网络的图像压缩，很好地对图像进行压缩(Image compression based on wavelet transform and neural network)

差分进化算法matlab源代码用于寻找函数极小值，附有多个测试函数(Differential evolution algorithm matlab source code used to find the minimum function, with multiple test functions)

根据PSO算法原理，在MATLAB中编程实现基于PSO算法的函数极值寻优算法，程序前面给出了PSO算法参数设置，种群初始化，寻找初始极值，迭代寻优，最后通过算法反复迭代300次，画出每代最优个体适应度值变化曲线，最后通过对比发现说明PSO算法具有较强的函数极值寻有能力，谢谢，希望对大家有帮助。 (According to the principle of PSO algorithm in MATLAB programming function PSO algorithm based on extreme value optimization algorithm, the preceding program gives the PSO algorithm parameter settings, population initialization, looking for initial extreme value, iterative optimization, and finally through the iterative algorithm 300 times draw the best individual fitness value of each generation curve, and finally by comparing the findings indicate that PSO algorithm has strong function extreme ability to find, thank you, we want to help.)