搜索资源列表
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.
fghfgh
- 一、 实验目的：通过该实验，掌握通过计算机实验信息量和信道容量的计算方法 二、 实验要求：对一个离散的无记忆信源，给定信源的输入概率分布，给定一个信道特性，计算各种信息量和熵，并计算信道容量。 三、 实验原理： -an experimental purposes : the adoption of the experiment, master of information through computer experiments channel capacity and the me
web_mi.rar
- 计算两个离散时间序列变量间的信息熵和互信息,Calculation of two discrete time series between the variable information entropy and mutual information
C4_5.m
- his algorithm was proposed by Quinlan (1993). The C4.5 algorithm generates a classification-decision tree for the given data-set by recursive partitioning of data. The decision is grown using Depth-first strategy. The algorithm considers all the poss
huffman
- 霍夫曼编码，是离散余弦编码的一种，当各离散样值概率为2的幂时，压缩编码达到极限熵-Huffman code is encoded as a discrete cosine, discrete sample value when the probability of power 2 hours, reached the limits of entropy coding
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
AsymptoticEquipartitionProperty
- 信息论基础 离散信源的无错编码讲义 4.1 信源编码概述 4.2 无记忆信源的渐近等同分割性 与定长编码定理 4.3 离散无记忆信源的变长编码 4.4 离散平稳信源及其编码定理 4.5 马尔可夫信源的信息熵及 -Information theory-based discrete source of the error-free coding notes 4.1 Overview 4.2 Source Coding of the asymptotic memor
twodimensionalrandomtransform
- 离散二维随机变换熵的计算： （1）利用random函数和归一化方法构造一个二维离散随机变量（X，Y）； （2）分别计算X与Y的熵、联合熵、条件熵：H（X）、H（Y）、H（X,Y）H（X|Y）、I（X|Y）； -Discrete two-dimensional random transform entropy calculation: (1) the use of random functions and normalization method to construct a two-
FuzzyEn
- 计算信号的模糊熵，其中的输入为一维离散时间序列-Calculate the fuzzy entropy of the signal, in which the input is one-dimensional discrete time series
yyshang
- 一维离散信号的信息熵计算方法，可实现其近似计算。- Information entropy calculation of one-dimensional discrete signals and its approximate calculation can be realized 。
Matlab
- 信息熵 离散无记忆信道容量的迭代计算 Shannon编码 Fano编码 Huffman编码-Discrete information entropy of the iterative calculation of the memory channel capacity Shannon coding Fano coding Huffman coding
jisuangeidingxinyuandeshang
- 离散无记忆信源是一种最简单且最重要的信源，可以用完备的离散型概率空间来描述。本实验通过计算给定的信源的熵，加深对信源及其扩展信源的熵的概念的理解。-Discrete memoryless sources is one of the most simple and most important information source, can be used to describe a complete discrete probability space. In this study, by co
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
Sample-entropy
- 用于计算离散信号的很不错的matlab样本熵程序-Very good for computing discrete signal matlab sample entropy program
signalcompress
- 给出了信号压缩通常的变换-量化-编码函数。DHT函数为离散DHT变换，是FFT变换的近似，其正反变换相同，克服了FFT复系数不利于存储的缺点。LLMAX函数给出了某x序列在固定比特下的最佳量化输出。熵编码函数为霍夫曼编码。-Gives the signal compression usually transform- quantitative- coding function. DHT DHT discrete transform function, the FFT transform appr
decision-tree
- 程序实现了生成决策树并使用决策树对离散特征向量进行分类。在判断是否要继续生成叶节点时采用entropy来作为impurity的measurement.-Program and use the decision tree decision tree to generate discrete feature vectors for classification. In determining whether to continue generating leaf nodes using entrop
entropy
- source code, Calculates the sample entropy, in bits, of discrete variables.
fenjieceng
- 对四层二维离散小波进行信息熵计算，通过对比低频子带信息熵的差值求解最佳分层数，希望对大家能有所帮助-For four-dimensional discrete wavelet information entropy calculated by comparing the difference between the low-frequency sub-band information entropy solving optimum number of layers, in the hope th
jaofang_v73
- 关于非线性离散系统辨识，能量熵的计算，用MATLAB实现的压缩传感。- Nonlinear discrete system identification, Energy entropy calculation, Using MATLAB compressed sensing.