createfigure

说明：  这是一个AWGN信道下，编译码仿真的C程序。本人已经用它产生数据绘制折线图！包含编码，译码，信道模拟，误码率计算 …… ,程序结构清晰，不复杂，适合与初学者来了解，基本通信流程！(This is an AWGN channel, the decoding simulation C program. I' ve used it to generate data to draw a line chart! Including encoding, decoding, channel simulation, bit error rate ... ..., the program structure clear, not complicated, for with the beginners to understand, the basic communication process!)

用矩阵撕裂法，多次用matlab运算，得出复杂系统的15个节点的电压(Tear voltage matrix method, repeatedly using matlab computing, complex systems derived 15 nodes)

从maxwell方程组出发，用平面波展开法推到出电磁波在光子晶体的本征方程。有例程(Starting from maxwell equations, plane wave expansion method to the electromagnetic waves pushed Eigenequation photonic crystals.)

说明：  支持向量机SVM和核函数的MATLAB程序集(MATLAB SVM RBF SIGMOD)

This simulation work belongs to STATCOM model. User may get he basic idea of PWM generation

自适应滤波器的仿真实验 与课本相结合 注释详尽 值得下载(The simulation experiment of adaptive filter)

独立成分分析（Independent Component Analysis, ICA）是近年来发展起来的一种有效的盲分离技术，最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题，其过程可以归纳为，在源信号与传输通道参数均未知的情况下，仅根据源信号的统计特性，出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据，即目标函数，并设计相应的优化算法，寻求最优的分离矩阵，使得输出信号中各分量尽可能相互独立。采用ICA方法对信号进行盲分离时，可避免过多地受大能量噪声成分的影响，将部分小能量信号源识别出来。随着ICA技术的不断发展，目前ICA技术已经广泛应用于语音增强、音频识别、通信、医学信号处理、金融数据挖掘、图像消噪、数字水印、遥感等领域，并取得了一定的研究成果。(Independent Component Analysis (ICA) Component ini order, developed in recent years is a kind of effective separation technology, originally from French scholars Herault and Jutten in 1986. The proposed method is initially ICA to solve the "cocktail" problem, the process can be divided into, in the source signal transmission channels and in the case of unknown parameters according to the source of the signals, and the statistical characteristics of recovering the source signal. According to the analysis of the ICA key lies in the establishment of optimal criteria described the output signal of the independent, objective function optimization criterion, and the corresponding optimization algorithm, the optimum )

说明：  在弹簧片上放置一个反射镜,反射镜被弹簧振动. 本程序就是模拟这一过程.(In spring place a mirror, mirror vibration by spring. This procedure is to simulate the process.)

1. 608组样本，第一列数字是标号，第二列数字是出现损坏的时间，第三列表示数据有效性，为0有效 2. 损坏时间是对数正态分布的，需要拟合 3. 求均值80%置信区间 4. 成本为m，价格为s，保证盈利20%，选取保修期 5. 比较保修期和拟合数据的均值 6. 若保修期就是拟合损坏时间的均值，求出利润率 loadd.m：加载样本数据，并选取有效数据 period.m：加载成本、价格数据，计算利润和保修期的关系(1.608 groups of samples, the first number is the label, the second column number is the time to appear damage, the third list shows the validity of the data, which is 0 effective. 2. damage times are logarithmic normal distribution and need to be fitted 3. mean in 80% confidence interval 4. the cost is m, the price is s, the profit is 20%, the warranty period is selected. 5. compare the mean value of the warranty period and the fitting data 6. if the warranty period is to fit the mean damage time, the profit rate is calculated. Loadd.m: load the sample data and select the valid data Period.m: loading cost, price data, and calculating the relationship between profit and warranty period)

水果图像识别，利用MATLAB进行图形的特征提取，边缘检测，阈值分割等(Fruit and image recognition, the use of MATLAB for graphics feature extraction, edge detection, thresholding, etc.)