资源列表
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
数据挖掘中CART算法实现
- 数据挖掘中CART算法实现（用MATLAB实现）-CART data mining algorithm (MATLAB)
压缩&解压缩
- 此程序用C语言用哈夫曼编码法实现了对英文的压缩与解压缩，是C语言编程一个比较经典的例子-this program in C language with Huffman coding method to achieve the right English compression and decompression, the C programming language is a classic example
数字信号处理教程——MATLAB释义与实现程序集
- 提供数字信号处理涉及到的所有内容，并提供相应源程序，注解详尽，非常不错！-provide digital signal processing related to all content and the corresponding source code, a detailed explanation, very good!