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解决图论中最短路问题的最好方法--“Dijstra算法,”通过解析实例模型,对模型算法进行描述、拓展,并给出了求最短路以及求最短路长的MATLAB程序,此程序具有通用性。(The best way to solve the shortest path problem in graph theory is- "Dijstra algorithm," by parsing instance model, the model describes the algorithm, expand, and gives the shortest and seek seek the shortest length of the MATLAB program, this program has versatility.)

fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b) with parameters: u,b format: result = fit_ML_laplace( x,hAx ) input: x - vector, samples with laplace distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields u,b - fitted parameters CRB_b - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

本代码使用高斯绝对稀疏信号进行重构，采用的重构算法是SAMP，重构效果好！(This code uses the absolute sparse Gaussian signal reconstruction, reconstruction algorithm uses a SAMP, good remodeling effect!)

不需要中间直流储能环节；能够四象限运行；具有优良的输入电流波形和输出电压波形；可自由控制的功率因数。(No intermediate dc energy storage link is required;Able to run in four quadrants;It has good input current waveform and output voltage waveform.Freely controllable power factor.)

cyclic convolution and discrete spread spectrum

计算电磁学矩量法介绍 计算电磁学3大方法之一 矩量法(Method of Moments)

Slam using random set theory

随机接入ALOHA协议，仿真其吞吐性能以及时延性能。(ALOHA random access protocol, the simulation of its throughput performance and delay performance.)

各种图论算法的matlab程序实现，包括floyd、hamilton、kruskal等(Various graph algorithm matlab program implementation, including floyd, hamilton, kruskal etc.)

产生随机信号观测样本，不同信噪比和归一化频率。用Leivison-Durbin迭代算法求解AR模型的系数并估计功率谱。(Generate random signal observation samples, different signal to noise ratio and normalized frequency.Use Leivison- Durbin iterative algorithm of AR model coefficients and estimate the power spectrum.)