exp5_22

this file simulate a circuit in matlab simulink and show the results

fit_ML_normal - Maximum Likelihood fit of the log-normal distribution of i.i.d. samples!. Given the samples of a log-normal distribution, the PDF parameter is found fits data to the probability of the form: p(x) = sqrt(1/(2*pi))/(s*x)*exp(- (log(x-m)^2)/(2*s^2)) with parameters: m,s format: result = fit_ML_log_normal( x,hAx ) input: x - vector, samples with log-normal 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 m,s - fitted parameters CRB_m,CRB_s - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

粒子群算法用于背包问题情况 典型组合优化问题(Particle swarm optimization for the case of the more popular knapsack problem)

一套完整的V-BLAST系统，包括发射端的多种调制以及多种接受算法，信道为瑞利信道。(A complete set of V-BLAST system, including a variety of modulation transmitter and a variety of acceptable algorithm, channel for the Rayleigh channel.)

提取了matlab中的edge函数的部分功能(Extracted in the edge function matlab some functions)

COlor Histogram Computation

matlab code for continuty equation

基于控制论思想实现工厂零件加工生产线上零件加工平均等待时间及零件加工效率估计等(Based on Cybernetics factory parts processing production line parts processing average wait time and parts processing efficiency estimates)

说明：  BP神经网络，用simulink搭建模型，用于分类识别(BP neural network, using Simulink to build a model for classification and recognition)

用二分法和简单迭代法计算 在[1，2]内的近似根，要求精度达到10-4和10-5，并给出二分和迭代的次数，分析和比较算法的效率差异，最后与理论估计的二分和迭代次数作比较。(Calculated by the dichotomy and simple iterative method in [1,2] within the approximate root, requiring precision 10-4 and 10-5, and gives two points and the number of iterations, the efficiency gap analysis and comparison algorithms, and the final theory two points and the estimated number of iterations for comparison.)