displacement

对噪声信号中的正弦信号，通过Pisarenko谐波分解方法、Music算法和Esprit算法进行频率估计，信号源是： 其中， ， ， ； 是高斯白噪声，方差为 。使用128个数据样本进行估计。 1、用三种算法进行频率估计，独立运行20次，记录各个方法的估计值，计算均值和方差； 2、增加噪声功率，观察和分析各种方法的性能。(Sinusoidal signal in the noise signal through the Pisarenko harmonic decomposition method, Music algorithms and Esprit frequency estimation algorithm, the signal source is: where,,, a Gaussian white noise, variance. 128 data samples used to estimate. 1, with three kinds of frequency estimation algorithm, run independently 20 times, record the estimated value of each method to calculate the mean and variance 2, the increase in noise power, observation and analysis of the performance of various methods.)

蚁群算法连续函数优化问题matlab程序(Ant colony algorithm for continuous function optimization problems in MATLAB programming)

大牛所利用的半监督学习算法进行分类使用的调和函数的matlab实现(Daniel, the use of semi-supervised learning algorithm to classify the use of harmonic functions matlab implementation)

sample code for desiging of Digtial Electronics

模拟退火算法简介及解决实际问题的代码Matlab程序(Introduction and simulated annealing algorithm to solve practical problems Matlab program code)

说明：  BCH码的仿真，系统自带库函数BCHencode和BCH的code，支持任何非本原BCH和本原BCH码仿真，包含交织模块，支持matlab2017b以上(BCH code simulation, the system comes with library functions BCHencode and BCH code, supports any non-primary BCH and primitive BCH code simulation, including interleaving module, supports matlab2017b and above)

Introduction to photonic crystals. Very good textbook on photonic crystals. Includes Matlab codes for analysis of photonic crystals by Transfer Matrix Method (TMM)

一个用matlab写的特征挑选，大家试试吧！(Using matlab to write a feature of the selection, we give it a try!)

用Hausdorff距离对两角点集进行配准，得到点集间的仿射变换，从而实现图像的自动配准。此算法以角点作为Hausdorff距离的配准特征，与直接选用边缘来配准的方法相比较，大大减小计算量。(Hausdorff distance on the corners with a point set registration, be affine transformation between sets in order to achieve automatic image registration. This algorithm is based corner as the Hausdorff distance matching characteristics, and use Edge to direct registration method of comparison, greatly reduced computation.)

对卫星云图特征识别与选择，并通过多种算法的综合应用，寻找显著性特征。(The identification and selection of the satellite image characteristics, and by the application of a variety of algorithms to find the significant features.)