Minimum-scattering-Antennas

分层空时码的自己编写的zf分解检测程序，包括判决无误和判决有误差两种情况(Layered space-time codes zf prepared by decomposition of their own testing procedures, including the accurate judgments and sentences a margin of error of two cases)

比例导引法的几个matlab程序，根据绝对弹道进行编程设计(Proportional navigation law matlab program, according to the absolute ballistic Programming)

说明：  matlab源代码，是重要的地震勘探源代码，工具箱程序(matlab source code, it is important to seismic exploration source code, toolbox procedures)

本源代码用来进行虹膜区域检测，可以用来进行视线跟踪、眼睛区域检测等。(Iris source code used for detection, can be used for eye tracking, eye region detection.)

some exemple of code matlab for some pictures

在一定的约束条件下，其输出与一给定函数（通常称为期望输出）的差的平方达到最小，通过数学运算最终可变为一个托布利兹方程的求解问题。维纳滤波器又被称为最小二乘滤波器或最小平方滤波器，目前是基本的滤波方法之一。维纳滤波是利用平稳随机过程的相关特性和频谱特性对混有噪声的信号进行滤波的方法，1942年美国科学家N.维纳为解决对空射击的控制问题所建立，是40年代在线性滤波理论方面所取得的最重要的成果。(Under some constraint conditions, the output with a given function (often referred to as expected output) the square of the difference between the minimum, through mathematical operation can be turned into a final taub Leeds equation to solve the problem.Wiener filter is also known as least squares filter or least square filter, is now one of the basic filter method.Wiener filtering is to use the related characteristics of stationary random process and spectrum characteristics of mixed with noise signal filtering method, scientists in the United States in 1942 n. wiener established to solve the control problem of empty shooting, is 40 s in the theory of linear filtering is the most important results.)

采用DelayTime_MutualInformation互信息法计算混沌时间序列的delaytime的Matlab原程序(used DelayTime_MutualInformation mutual information calculation mixed turbid time series delaytime Matlab original program)

模式识别教材中习题例题的matlab代码(Exercises in pattern recognition textbook example of matlab code)

一种求解lp范数正则化约束的稀疏表示方法(Sparse representation method for solving LP norm regularization constraint)

说明：  基于模糊PID控制下的BUCK电路稳压输出的仿真，并对比了模糊控制和PID控制。(Based on the simulation of BUCK circuit voltage stabilizing output under fuzzy PID control, the fuzzy control and PID control are compared.)