jacket_matlab

創建 JPEG quantization table(JPEG quantization table)

这是我在万方图书馆下载的关于MATLAB和vc混合编程的书籍，有介绍原理和也有介绍具体实现的。(This is my library at万方download vc on MATLAB and mixed programming books, has introduced the principle and also the introduction of specific implementation.)

1. m-file powspec computes the powerspectrum of the input signal. 2. m-file ispecgram computes the inverse of the output of specgram

This is remote sensing image enhancement project. Which deals with image enhanement and noise removal from rsi images. It also uses different edge detection techniques for image enhancement

ENFRN GRN toolbox: using a neuro-fuzzy algorithm to predict the gene regulatory network by matlab.

computational simulation on photonic crystal by mpb(MIT Photonic Band) software

对语音信号进行处理，包括语音信号的维纳滤波，卡尔曼滤波等(Speech signal processing, including Wiener filtering a speech signal, Kalman filtering, etc.)

MUSIC算法[1] 是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(clear all clc List0= E:DOA估计仿真 List00=[ 2013-10-31_12_44_31 ] for Li=1:1 List1=strcat(List0,List00(Li,:), Data ) In_p=[List1, ChanData ] 输入数据目录 Out_p=strcat([List1, DataDOA ]) 输出数据目录 NLen=10000 分段长度 M=16 r=15 c=299792458 List=List1(end-19:end-1) 选择目录 if(~exist(Out_p, )) mkdir(Out_p) end )

对于初学matlab的同学会有帮助，IDW距离反比加权方法，一个师兄的毕设。( Matlab for beginner students will help, IDW inverse distance weighting method, A complete set of brothers.)

采用多孔算法，进行2维2进小波变换和反变换。用于图像的处理(Using porous algorithm for 2-D 2 into the wavelet transform and inverse transform. For image processing)