logistic回归分类器鸢尾花

最新matlab2013b发布版的功能介绍，特别是一些新的功能模块，功能很强大(The latest release features matlab2013b introduction, especially some new functional modules, very powerful)

关于光伏组件研究的相关资料，很有参考价值(Related information on the study of PV modules, a good reference value)

说明：  SOGI一个仿真，自己搭的，功能是对的，可以测试。(SOGI is OK.dual second-order generalized integrator PLL.)

The zip file contains several matlab files. These files implement the optimal vlassifier (optimal_classifier.m), a sub-optimal classifier (SOS_STBC_Classifier.m) which is based on Second Order Statistic and a low-complexity sub optimal code-parameter classifier (CP_Classifier.m). See reference [1] for the theoretical background. Example: To create the fig 3,4 and 5 of the paper, call the routine: Blind_recognition_STBC2_simulation_results(512,4, PSK ,4) Reference: [1] V. Choqueuse, M. Marazin, L. Collin, K. Yao and G. Burel "Blind recognition of STBC: A Likelihood-based Approach", IEEE Transactions on Signal Processing (IF: 2.33), vol. 58(3), pp : 1290-1299, March 2010.

matlab绘图及GUI，介绍采用matlab进行二维、三维绘图等等(matlab graphics and GUI, using matlab introduce two-dimensional, three-dimensional graphics, etc.)

The objective is to demonstrate character/ symbol frequency distribution analysis (reference to the English language) on 2 vintage ciphers, namely Caesar cipher (a mono-alphabetic substitution cipher) and the Vigenere cipher (a poly-alphabetic substitution cipher).

Sammarization Document

fir滤波器，7、8、13、14，对信号进行alpha、betagamma滤波，调用方法 Hd = fir_alpha 滤波后信号 = filter(Hd,原信号) 得到的信号是时域信号，plot直接显示(Fir filter, 7, 8, 13, 14, alpha filter for signal method is called Hd = fir_alpha After filtering signal = filter (Hd, the original signal) Signal is time domain signals, the plot showed directly)

通信原理实验中的数字调制部分二进制频率调制(Communication theory experiment in digital modulation part of the binary frequency modulation)

小波分解和重构小波分解和重构小波分解和重构小波分解和重构(thr=sigma*(2*lgN)1/2/lg(j+1) 用[x,xn]=wnoise(2,10,6) 产生噪声测试数据-The following is Part I of a of hard and soft threshold denoising matlab procedure is the following hardware and software, I made a threshold denoising matlab program: thr = sigma* (2* lgN) 1/2/lg (j+1) by [x, xn] = wnoise (2,10,6) noise test data)