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H263coder
- H.263编码器的主要特征：包括运动估计和补偿 离散余弦变换(DCT) 量化 熵编码 帧存储-H.263 coding for the main features : including motion estimation and compensation discrete cosine transform (DCT) quantify entropy coding frame memory, etc.
ImageEntropy
- 信息源根据一个有限的或无限但可数的符号集生成一个任意符号序列也就是说，信源的输出是离散的随机变量。本实验要求编写计算图像的一阶二阶熵的程序-Information sources based on a limited or unlimited number of symbols but can be set to generate a sequence of arbitrary symbols that is to say, the output source is the discrete r
imjepg
- JPEG压缩编码的主要步骤有： 1.通过前向离散余弦变换减少图像数据相关性； 2.利用人眼的视觉特性队DCT系数进行量化； 3.使用查分脉冲编码调制对直流系数进行编码； 4.对交流系数进行Z形扫描，使用形成长度编码队交流系数进行编码； 5.熵编码器对上述描述符进行熵编码。-JPEG compression encoding of the main steps are: 1.forward discrete cosine transform to reduce the im
Wavelets
- 1 Haar Wavelets 1.1 The Haar transform 1.2 Conservation and compaction of energy 1.3 Haar wavelets 1.4 Multiresolution analysis 1.5 Compression of audio signals 1.6 Removing noise from audio signals 1.7 Notes and references 2 Daub ech
xinxishang
- 使用Matlab编写的一维离散信号的信息熵的计算-Using Matlab discrete signal information entropy calculation
新建文件夹
- 一幅大小为256×256的256级灰度图像（每像素8bit） 如果图像的各个像素之间是统计独立的，求该图像的信息熵 -离散无记忆信源 如果图像的各个像素之间不是统计独立的，求该图像的信息熵 -图像像素的概率分布模型(A 256 gray scale image (8bit per pixel) with a size of 256 x 256 If each pixel of the image is statistically independent, the information
huffman coding
- 利用霍夫曼编码进行图像压缩处理，此程序为霍夫曼编码的示例(The performance of a Huffman code is a function of the entropy of the signal distribution and therefore can be highly dependent in the transform domain in which the code is applied. For example, JPEG partitions an image