weibull

采用simulink搭建的BPSK调制解调模块(Simulink built using BPSK modulation and demodulation modules)

MATLAB神经网络书籍源代码，买书时候赠送的，拿来共享 (MATLAB neural network source code book, when the donated books, brought to share)

Matlab程序，GUI窗口 用FFT程序计算有限长度正弦信号y=sin(2*pi*f*t) ,0<=t<=N*T(FFT program calculate the finite length of the sinusoidal signal y = sin (2* pi* f* t), 0 < = t < = N* T respectively the DFT results obtained and analyzed and discussed in the following cases: a) the signal frequency f = 50Hz, the sampling the credited with N = 32, the sampling interval T = 0.000625sb) signal frequency f = 50Hz, the sampling points of N = 32, the sampling interval T = 0.005sc), the signal frequency f = 50 Hz, the sampling points N = 32, the sampling interval T = 0.0046875sd) signal frequency f = 50Hz, the sampling points of N = 32, the sampled interval T = 0.004se) signal frequency f = 50Hz, the sampling points of N = 64, the sampling interval the T = 0.000625sf) signal frequency f = 250Hz, the sampling points N = 32, the sampling interval T = 0.005sg) c) a signal-post 32, to do a 64-point FFT)

进行Visualization_4d it is very cool(complete Visualization_4d it is very cool)

OFDMsimulink技术的分析模拟仿真，适合研究OFDM技术的人群，比如毕业设计(OFDMsimulink technology analysis simulation, appropriate to study the crowd OFDM technology, such as the graduation project)

说明：  kalman滤波器设计的英文资料，内容很全！(kalman filtering theory and practice using matlab (second edition))

SOR迭代法与高斯赛德尔迭代在洋流分析中的应用(Two iterative method in the analysis of the application of the ocean currents )

用LCS方法解决字符匹配问题，用到动态规划的思想。原创(LCS solution with matching characters, the idea of using dynamic programming)

应用KNN算法解决0到9的手写数字识别问题，效果在90 以上，内部有两个数据集，一个为训练集（7291个数据），一个为测试数据（2791个数据），程序采用MATLAB编写，另附有文档，程序简洁易懂(Application KNN algorithm to solve 0-9 handwritten digit recognition problem, the effect is more than 90 , the inside has two data sets, one for the training set (7291 data), a test data (2791 data), the program written using MATLAB , attached a document, the program is simple and easy to understand)

INS demo processing file