biflogistica

irisData is 150x5. row: Sepal.Length Sepal.Width Petal.Length Petal.Width Group(1,2,or 3) the first 50x5 is Isis-setosa(1), the second 50x5 is Isis-versicolor(2), the last 50x5 is Isis-virginica(3). !!! Caution !!! X(50 + 21, :) equals X(50 + 50 + 27, :), but Y(50 + 50 + 21) DOESNOT equal Y(50 + 50 + 27)! So the algorithm will NEVER be 100 correct.

该程序可以仿真MSK传输系统，对初学者有帮助。(siulater the MSK transmisstion system)

optimum placement of DG

D Agostino-Pearson s K2 test for assessing normality of data.

图像压缩预测编码.采用了差分脉冲预测编码的方法。(Image compression predictive encoding using a differential pulse predictive coding method.)

simple 8qam modulator with rcos filter with demodulator

关于Matlab中数值微分与数值积分的数学实验(Numerical integration and Numerical differential)

说明：  主元素分析源程序代码，实现主元素分析的完整代码(Principal component analysis source code to achieve the complete code for principal component analysis)

数字PID的matlab仿真程序，针对刘金琨的先进PID控制的matlab仿真，里面的部分程序进行了修改 第二章(Digital PID of matlab simulation program for Liu Jinkun matlab advanced PID control simulation, which part of the program were modified Chapter)

Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene.[2][3] The concept of optical flow was first studied in the 1940s and ultimately published by American psychologist James J. Gibson[4] as part of his theory of affordance. Optical flow techniques such as motion detection, object segmentation, time-to-collision and focus of expansion calculations, motion compensated encoding, and stereo disparity measurement utilize this motion of the objects surfaces and edges.[5][6]