ULA_Resolution

实现了给予人脸的特征提取与模式识别，是模式识别中比较经典的实例分析(Achieved a given facial feature extraction and pattern recognition, is the more classic examples of pattern recognition analysis of)

指纹识别源代码。思路完全是按照文件夹中网页里介绍的方法，即提取指纹中的分叉点和端点的位置作为指纹的特征值。由于今天太忙，对图像的预处理作的很失败，程序会提取出很多伪点，而指纹轮廓也没有想出办法过滤。汗，你看看能不能参考把。 三个m文件，fd.m提取指纹中的分叉点，fd2.m提取指纹中的端点，Cpoint.m则是前两个文件运行中需要调用的掩模函数。(fingerprint identification code. Thinking is entirely in accordance with the folder on the website Lane, that the fingerprints of the bifurcation point and endpoint position as a fingerprint eigenvalues. As today are too busy, the image preprocessing for the failure, the program will extract a lot of pseudo-point, and the fingerprint profile nor find a way to filter. Khan, you can look at the information put. 3 m documents, fingerprints fd.m the bifurcation point, fd2.m fingerprints of endpoint, Cpoint.m are two documents before the operation need to call the mask function.)

mli with capacitor clamp inverter

m序列产生子函数 gold序列产生子函数 自相关函数和互相关函数计算子函数 调用子函数[s,k,pn]=m(c,b0)产生第二条m序列(function [Rm]=Rm(golda,goldb) 自相关函数和互相关函数计算子函数 N=11 n=2^N-1 Rm(1)=sum(golda.*goldb)/n for k=1:n-1 Rm(k+1)=sum(golda.*circshift(goldb,[0,k]))/n end Rm )

R-D算法 产生数据的m文件 是最简单的情况 不弯曲不走动(R-D algorithm to generate m file data)

一种数据平滑代码，可以对一组数据进行三点、五点、七点等平滑，并可以调整平滑次数。(A data smoothing code, a set of data for three, five, seven and so smooth, and you can adjust the number of smooth.)

用MATLAB中remez函数设计一带通FIR滤波器。打印出单位脉冲响应 ，并画出幅频响应。(Design using MATLAB function in the vicinity of remez pass FIR filter. Print out the unit impulse response and frequency response plot.)

说明：  自适应光学区域校正示例，针对不同变形镜的控制方式(Example of adaptive optical area correction, control methods for different deformable mirrors)

IIR 数字滤波器设计：模拟低通巴特沃思滤波器、模拟低通切比雪夫1型滤波器、模拟低通切比雪夫2型滤波器、模拟椭圆低通滤波器(IIR Digital Filter Design: Analog low-pass Butterworth filter, analog low-pass Chebyshev Type 1 filter, analog low-pass Chebyshev type 2 filter, analog elliptical low-pass filter)

Those wishing to model a surface data in the form of z(x,y) scattered or semi-scattered data have had few options in matlab - mainly griddata.