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QR
说明: 用QR分解来解方程AX=b,其中QR分解是用householder变换做的(With QR decomposition to solve the equation AX = b, where QR decomposition is done using householder transformation)
- 2009-12-23 21:04:49下载
- 积分:1
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mitmatlab
能够实现几种经典的分类算法(ID3,C4.5等)(It can inmplement several classic classification algrorithm(ID3,C4.5,etc.))
- 2010-03-06 10:07:22下载
- 积分:1
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strel
MATLAB STREL UNCTION MATLAB CODE IN IMAGE PROCESSIG
- 2013-04-21 00:16:13下载
- 积分:1
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MatlabGUI
matlab的gui教程,非常详细,简单易懂,便于学习,非常适合新手入门(The gui matlab tutorial, very detailed, easy to understand, easy to learn, very suitable for beginners)
- 2013-11-14 20:32:18下载
- 积分:1
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ofdm_qpsk_awgn
ofdm系统qpsk调制、awgn信道下的仿真,对于ofdm信号有全面的认知(qpsk modulation ofdm systems, simulation awgn channel under the ofdm signal for a comprehensive awareness)
- 2015-04-02 21:26:36下载
- 积分:1
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gaokaohanshu
我们自己编译的有助于高考报考成功的源代码。(Compiled to help our own source code of a successful college entrance examination.)
- 2011-08-18 18:33:34下载
- 积分:1
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OFDMsystem
LTE系统中OFDM技术的仿真,包括循环前缀的插入去除,调制解调等主要步骤(The OFDM system of LTE, CP-OFDM, including of Cyclic Prefix modulation-demodulation and so on.)
- 2014-09-27 09:24:24下载
- 积分:1
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jpeg
该代码是用MATLAB写的。实现了JPEG压缩与解压缩的基本过程。适合图像方向的初学者学习使用。 MATLAB语言开发(The code is written in MATLAB. Achieve a JPEG compression and decompression of the basic process. Suitable for beginners to learn to use the image orientation. MATLAB language development)
- 2014-11-21 22:45:24下载
- 积分:1
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cavity-MAC
The Driven Cavity Problem by the MAC Method
- 2013-05-03 18:33:32下载
- 积分:1
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MATLAB_PICTURE_PROCESSING
使用MATLAB,实现以下四个功能
一、获取图片RGB值:给定一张图片,获取点(x,y),以及(x,y)周围8个点的R、G、B值。
二、实现rgb2gray函数:使用matlab实现rgb2gray的功能,并能计算出转换后灰度图片的方差。
三、灰度图对比度增强:分别使用灰度拉伸和直方图均衡化,增强给定图的对比度。
四、图像去噪:对给定图片加椒盐噪声,并选择两个去噪算法去除椒盐噪声。
(Using MATLAB, to achieve the following four functions
First, access to image RGB value: Given a picture, get the point (x, y), and (x, y) around 8 o clock in the R, G, B values.
Second, the realization rgb2gray function: using matlab realize rgb2gray functions, and can calculate the variance after the conversion of grayscale image.
Third, the grayscale contrast enhancement: namely, the use of gray stretch and histogram equalization, contrast enhancement given graph.
Fourth, the image denoising: for a given image add salt and pepper noise, and you know at least two denoising algorithm to remove salt and pepper noise.
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- 2020-11-18 10:19:38下载
- 积分:1