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jpeg压缩matlab源代码。由均匀量化和huffman编码组成，简洁易懂,jpeg compression matlab source code. By the uniform quantization and huffman coding components, concise and understandable
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matlab环境下利用huffman编码实现图像无损压缩和文本的压缩-matlab environment implementation using huffman coding image lossless compression and text compression
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) Compression using huffman code
-with a number of bits k per code word
-provide huffman table
Huffman coding is optimal for a symbol-by-symbol coding with a known input probability distribution.This technique uses a variable-length code t
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Codes".
Huffman coding uses a specific method for choosing the representation for each symbol, resulting in a prefix code (sometimes called "prefix-free codes") (that is, the bit string representing some particular symbol is never a prefix of th
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MATLAB仿真作业。
1.Huffman编码
2.qpsk调制与解调
3.hamming信道编码-MATLAB simulation of operation. 1.Huffman coded modulation and demodulation 2.qpsk channel coding 3.hamming
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huffman coding implementation by matlab with different D and ability that you assign your data as manualy or random.It s very effective.please test it.
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Implementation of JPEG compression algorithm with JFIF header being appended.This project involves writting code for following steps : Chroma subsampling,partitioning ,level shifting,DCT,quantization,zigzag scanning(involves DC differential coding &
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数字图像处理中的编码技术。本程序对输入的图像进行哈夫曼huffman编码，显示原图像的熵、编码后的平均码字长度、并能够根据编码重建出图像。本程序使用C++混合编程，已经编译生成了Matlab库文件，无需再与C++链接。程序包括源程序和源图像，以及编码后的结果图像。-Encoding digital image processing technology. The procedure of the input image Huffman huffman coding to show the ori
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利用Matlab编程实现对lena.bmp灰度图象进行QF=50和QF=40的压缩和解压缩，比较二者的PSNR，并且利用霍夫曼编码模拟信道中传输图象。通过了Matlab2009A测试。-Using Matlab program to compress and decompress the gray image Lena.bmp at QF = 50 and QF = 40,as well as comparing the result of two situation.Then using Hu
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带有huffman编码的 MPEG-2帧内编码-Huffman encoded with MPEG-2 intra coding
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本文件描述了哈夫曼编码的原理，以及用Matlab软件实现哈夫曼编码，即给出一个文本，即可用哈夫曼原理实现编码。-This paper describes the principles of Huffman coding, and Huffman coding with Matlab software, that gives a text, you can achieve with the principle of Huffman coding.
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哈夫曼编码的matlab实现，带注释。附带哈夫曼编码原理简介和流程图 哦-Matlab implementation of the Huffman encoding with the comment. Comes with Huffman coding theory, Introduction and Roadmap
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Huffman code的matlab程序，用一幅图像作为training image得到像素的Huffman编码，然后编码另外一幅图像，求得average code length。-Huffman code of matlab program, with an image as a training image pixel Huffman coding, then coded another image obtained average code length.
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毕业设计中，用Matlab实现了机器人最优路径规划中的全局路径规划，算法采用的是基于方向权的temp二叉树算法，同时结合了哈夫曼编码二叉树的temp1综合。
-Graduation design, using Matlab to achieve the optimal path planning of robot global path planning algorithm uses a binary tree algorithm based on the direction of the
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毕业设计中，用Matlab实现了机器人最优路径规划中的全局路径规划，算法采用的是基于方向权的 LzTInj 二叉树算法，同时结合了哈夫曼编码二叉树的 BmjBotL综合。-Graduation design, using Matlab to achieve the optimal path planning of robot global path planning algorithm uses a binary tree algorithm based on the direction of
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毕业设计中，用Matlab实现了机器人最优路径规划中的全局路径规划，算法采用的是基于方向权的 ltLuYi 二叉树算法，同时结合了哈夫曼编码二叉树的 NOFlZUO综合。-Graduation design, using Matlab to achieve the optimal path planning of robot global path planning algorithm uses a binary tree algorithm based on the direction of
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毕业设计中，用Matlab实现了机器人最优路径规划中的全局路径规划，算法采用的是基于方向权的 iGEZgr 二叉树算法，同时结合了哈夫曼编码二叉树的 tMWGmZl综合。-Graduation design, using Matlab to achieve the optimal path planning of robot global path planning algorithm uses a binary tree algorithm based on the direction of
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毕业设计中，用Matlab实现了机器人最优路径规划中的全局路径规划，算法采用的是基于方向权的 hYkRrD 二叉树算法，同时结合了哈夫曼编码二叉树的 dLywUAC综合。-Graduation design, using Matlab to achieve the optimal path planning of robot global path planning algorithm uses a binary tree algorithm based on the direction of
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用matlab实现哈夫曼编码，哈夫曼编码是一种无失真的编码方式，可以在提高传输速率的情况下不减少信息熵。(Huffman coding with matlab, Huffman coding is a distortion-free coding, you can increase the transmission rate without reducing the information entropy.)
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使用matlab实现的jpeg基本系统，输入为灰度图像，输出为使用‘0’‘1’字符表示的字符串。
包括dct编码与解码、量化与反量化，Huffman编码与解码(The JPEG basic system implemented with MATLAB is entered into a gray image, and the output is a string represented with a '0' '1' character.
Including DCT coding and de
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