xianxingzhengshuguihua

DMC算法的实现和参数对其响应的影响程序加分析。(DMC algorithm implementation and the impact of process parameters on its response to any analysis.)

active learning This software package provides a toolbox for testing pool-based active-learning algorithms in MATLAB.(This software package provides a toolbox for testing pool-based active-learning algorithms in MATLAB.)

This Matlab code implements Cauchy s steepest descent method using constant stepsize rule.

GPS仿真程序。很好的。用MATLAB实现仿真过程。(GPS Simulation code)

this is a code for neural network that estimate diffrential equations with heb learning

单次快拍实现DOA的估计，“Modified UCA-ESPRIT and Modified UCA-ROOT-MUSIC for Estimating Doa of Coherent Signals Using One Snapshot.pdf”文章的配套代码(Modified UCA-ESPRIT and Modified UCA-ROOT-MUSIC for Estimating Doa of Coherent Signals Using One Snapshot.pdf”its code)

经典的buck电路的matlab仿真，可以修改自己电路中的电感电容等参数直接应用到自己电路的仿真中。(This is a buck cuicrt simulation,and you can set your L C R in this curcit.)

basic matlab programs-I

n dim integaral with montecarlo method

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.)