code-methodMATLAB

google memcached 客户端 jar 包(google memcached client jar)

IN THIS WE ARE STUDING Ridge Distance Estimation in Fingerprint Images Algorithm and Performance Evaluation

matlab code for edge detection using dwt

模式识别中knn和svm的使用，用到matlab的fitcknn和fitcsvm(pattern recognition the use of knn and svm to classify data, using matlab function fitcknn and fitcsvm)

雅克比方法求矩阵的特征值和特征向量，matlab文件，已经调试成功了(Methods for Jacobian matrix eigenvalues and eigenvectors, matlab documentation, debugging has been successful)

说明：  七单元天线阵DOA估计 clear clc d=1 天线阵元的间距 lma=2 信号中心波长 q1=1*pi/4 q2=1*pi/3 q3=1*pi/6 q4=3*pi/4 四输入信号的方向 A1=[exp(-2*pi*j*d*[0:6]*cos(q1)/lma)] 求阵因子 A2=[exp(-2*pi*j*d*[0:6]*cos(q2)/lma)] A3=[exp(-2*pi*j*d*[0:6]*cos(q3)/lma)] A4=[exp(-2*pi*j*d*[0:6]*cos(q4)/lma)] A=[A1,A2,A3,A4] 得出A矩阵 n=1:1900 v1=.015 四信号的频率 v2=.05 v3=.02 v4=.035 d=[1.3*cos(v1*n) 1*sin(v2(we)

利用matlab的gui设计的带有输入和输出功能的界面图形，实现等距线可视性很强，自己独立编写的数据和图形，学习非常值得,实现pca压缩图像，matlab语言(The interface graphics with input and output function designed by GUI of Matlab can realize the visibility of isometric line. The data and graphics compiled independently by oneself are worth learning. The realization of PCA compressed image and MATLAB language is very worthwhile.)

基于Wiener滤波的语音消噪Matlab源程序 调用方式： output=WienerScalart96(signal,fs,IS) signal－－输入含噪语音 fs－－－－语音信号采样率 IS－－－－起始静音端，用来估计噪声方差（秒做单位，默认是0.25秒） (Wiener filter-based de-noising of the voice call Matlab source code the way: output = WienerScalart96 (signal, fs, IS) signal- voice input with noise fs---- voice signal sampling rate IS---- Start mute end used to estimate the noise variance (units of seconds to do, the default is 0.25 seconds))

Hiding of data in the images

说明：  通信原理的AM调制信号，MATLAB实现仿真(Communication Theory of AM modulated signal MATLAB for simulation)