pso

运用MATLAB编程并结合simulink解决简单的电路问题。 自选题目：图1所示为典型的直流电阻电路[3], 含有电压控制的受控电流源VCCS，其中，R1=1Ω,R2= 2Ω, R3=3Ω,US=10V, IS=15A, VCCS= ，现需分析计算电流i1和电压u2 (Combined with the use of MATLAB simulink program to solve simple circuit problems. Optional Title: Figure 1 shows a typical DC resistance of the circuit [3], with voltage-controlled current source controlled VCCS, which, R1 = 1Ω, R2 = 2Ω, R3 = 3Ω, US = 10V, IS = 15A, VCCS =, now need to be analyzed to compute the current and voltage u2 i1)

基于FFT谱连续细化算法的高精度频率估计，这种算法可以精确到小数点后两位，这种算法与MUSIC法和ESPRIT法相比，计算量大大降低，而且精度非常高。(This procedure is based on the FFT spectrum continual refinement algorithm s high accuracy frequency， this algorithm may precisely to decimal point latter two, compared the MUSIC algorithm and the ESPRIT algorithm, the computation complexity reduces greatly, moreover the precision is high.)

关于热电偶的实验报告，加上补偿电路以提高响应速度。(Experimental report on the thermocouple, together with compensation circuit to improve the response speed.)

说明：  灰预测，运用灰预测的MATLAB实现，建立模型，求解未来的预测值(gray modol)

MIMO OFDM with matlab

k mean clustering algo

RPCA (Robust Principal Component Analysis)是目前用于矩阵填充、图像去噪的最有效的优化方法。该代码是求解RPCA的一种数值算法——Exact ALM（Exact Augmented Lagrange Multiplier）(The most basic form of the exact ALM function is [A, E] = exact_alm_rpca(D, λ), and that of the inexact ALM function is [A, E] = inexact_alm_rpca(D, λ), where D is a real matrix and λ is a positive real number. We solve the RPCA problem using the method of augmented Lagrange multipliers. The method converges Q-linearly to the optimal solution. The exact ALM algorithm is simple to implement, each iteration involves computing a partial SVD of a matrix the size of D, and converges to the true solution in a small number of iterations. The algorithm can be further speeded up by using a fast continuation technique, thereby yielding the inexact ALM algorithm.)

适合科研工程人员的数字信号处理书籍，著名的FFTW算法就是基于此开发的。(an famous book about digtial singal proceesing.)

实现M/M/1单窗口无限排队系统的系统仿真，利用事件调度法实现离散事件系统仿真，并统计平均队列长度以及平均等待时间等值，以与理论分析结果进行对比(Realization of M/M/1 single window unlimited queuing system simulation, using the event scheduling to achieve discrete event system simulation, and statistical average queue length and the average waiting time equivalents, in order to compare the results with the theoretical analysis)

Add noise to signal at a prescribed SNR level.