资源列表
ezwmatlab
- EZW:基于小波变换的零树编码程序,matlab实现-EZW : Based on the wavelet transform Zerotree coding process, achieving Matlab
MATLAB温度控制
- 这个是通过matlab这个软件编写程序可以控制温度!达到了理想的结果!开始的程序是用c写的!但是主要还是后面的matlab程序!-This is a program which are writen by software of matlab and can control temperature,then can reached the ideal result! the procedure at the beginning is written with c!,but mainly is s
gmres_m
- gmres算法的一个特殊形式,用来求解大型稀疏矩阵方程-gmres algorithm a special form used to solve large sparse matrix equation
watermark小波代码
- 这是基于小波变换的数字水印代码,在嵌入的水印加上一个pn尾随机序列-This is based on the wavelet transform digital watermark code, the embedded watermark with a random sequence late pn
小波包进行信号的去噪处理
- 此程序是关于小波变换用于故障信号分析和处理的程序,特别适合去噪和第一类间断点的检测,适合机械波研究者参考-this procedure is used on the wavelet transform fault signal analysis and processing procedures, particularly suitable for de-noising and continuity of the first category of detection, for the refe
svm
- 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-MATLAB svm prepared by the source, can achieve a support vector machine for the feature classification or extract
VC调用matlab中定义的.m文件中的函数的实例
- 如何在VC中利用matlab的资源呢? 在这里我简要的以一个简单的例子来说明一下如果在VC中调用matlab中定义的.m文件。-how to use Matlab resources? Here, I briefly with a simple example to illustrate what if the VC called defined in Matlab. M documents.
Matlab work
- 本文件提供了几个数值分析中的Matlab小程序。水平有限,多多海涵。-This document provides several numerical analysis of Matlab small programs. Limited, and many Haihan.
经典的数据挖掘程序
- 这个一些经典的数据挖掘matlab源程序,比较全。-some of the classic source Matlab data mining, comparative whole.
Canny Edge Detection
- canny边缘检测算子,可以对灰度数字图象的弱边缘进行很好的检测-canny edge detection operator, Gray figures to be the weak image edge detection for good
HOFFMAN
- 霍夫曼coding程序,用此程序可以对任意图像进行霍夫曼编码。-Huffman coding procedures, this procedure can be used for any image Huffman coding.
i
- 程序代码说明:对癌细胞颜色进行分析,和正常细胞相比,癌细胞的核颜色较深,色彩分量有较大的差异。据此,对癌细胞进行色度学分类识别。-code : right color cell analysis, and compared to normal cells, cancer cells nuclear darker in color, a color component of the larger differences. Accordingly, the cancer classification