编码定理

词组短语

coding theorem

与编码定理相关的网络例句 [注：此内容来源于网络，仅供参考]

A general communication system, channel coding theorem and source-channel coding theorem.

通信系统的一般模型，信道编码定理和信源信道编码定理。

The performance boundaries are acquired through coding and coding theorem.

通过编码和编码定理得到一些重要的性能界限。

Information theory and coding, right Shannon source coding theorem simulation, verification of the Shannon coding theorem.

信息论与编码中，对香农信源编码定理的仿真，验证了香农编码定理的可行性。

Basic image coding VC procedures, including Shannon theorem, Huffman coding, bitplane coding in accordance with the importance...

最基本的图像编码VC程序，包括香农定理、霍夫曼编码、位平面编码(按照比特位的重要性编码)等。

Basic image coding VC procedures, including Shannon theorem, Huffman coding, bitplane coding (in accordance with the importance of bit-coding).

详细说明：最基本的图像编码VC程序，包括香农定理、霍夫曼编码、位平面编码(按照比特位的重要性编码)等。

Source coding theorem.

信源编码定理。

The topics covered include the basic concepts of information theory--entropy, mutual information, channel capacity, information rate, Shannon's noiseless coding theorem and Shannon's fundamental coding theorem; modeling of information sources--zero-memory and Markov models; modeling of information channels--BSC and BEC channels, additivity of information and cascaded channels; construction of compact source codes--Kraft inequality, compact codes, Huffman and LZW compression codes; and analysis and design of error-control channel codes--Hamming distance, binary linear codes and the parity-check matrix, Hamming codes, checksum codes, cyclic codes and the generator polynomial and CRC codes.

课程的内容包括：信息论的基本概念（熵、交互信息、信道容量、信息率、 Shannon无噪声编码定理和Shannon基本编码定理）、信源模型（无记忆模型和Markov模型）、信息信道模型（BSC 和 BEC模型、信息的可加性和级联信道），紧致信源编码设计（Kraft不等式，紧致编码，Huffman 和LZW压缩编码）以及差错控制信道码的设计与分析（海明距离，二元线性码，奇偶校验矩阵，海明码，校验和，循环码，生成多项式和CRC码）。

The initial population size is studied based on the defined partial function, favor and back difference equations, and the schema theorem.

该文研究二进制和自然数编码遗传算法的群体规模，结合偏好函数和模式定理，利用前向及后向差分方程，得到这2种编码的群体规模下限值，证明其存在性。

The main work and innovation1 In general , a image compression method has different effect to different image . Some are fit for image which has much high frequency . Some are fit for image which has much low frequency .This paper analysis the applicability of fractal algorithm . In this dissertation , an improved algorithum is given . The basic algorithum without eight change and the joint use of quantitative coding , The compression ratio and PSNR can be adjusted , and it can get more quickly speed of coding .2 To a group of exact fractal code , the decoding image can be any resolution .With this characteristic ,choose the proper domain block and range block,this paper get an algorithum which can get higher decoding PSNR and speed than the basic fractal algorithum.3 Give a new method to calculate the scale factor . The calculation of basic algorithum is complex and enormous . The factor of scale is an important variable of the basic algorithm. Now there are two methods to calculate the factor of scale .A new method was given to calculate the factor of scale. The calculation load and complexity are reduced by the new method. Compared with the basic algorithm , the method can reduce coding time.4 The basic fractal algorithum is based on the Collage theorem and contraction mapping theorem . A mathematic model based on basic fractal algorithum is given .

本文的主要工作及创新点主要包括以下几点：1一般情况下，一种图像压缩的方法对不同特点的图像，压缩效果会有所不同，本文利用分形压缩编码对不同特点的图像进行编码，分析了分形编码对不同图像的编码适用性，利用去掉8种变换的分形编码算法与简单的均匀量化编码方案相结合，得到了一种可以调节压缩比与解码质量的分形编码方案，该提高编码速度6倍以上。2分形编码的特点之一是分形解码的分辨率无关性，即对于一组分形编码可以将其解码到任意分辨率下，本文利用分形编码的这一特点，结合不同的量化编码方案，选择合适的定义域块与值域块及适当的编解码分辨率，得到了一种提高解码质量，编码速度提高12倍以上的加速算法。3比例因子是基本分形算法中的一个重要变量，目前有两种计算比例因子的方法，文中给出了一种新的求比例因子的方法，该方法简化了求比例因子的计算，从整体上减小了基本分形算法的计算量，简化了算法4分形压缩的数学基础是不动点定理与拼贴定理，本文根据基本的自动分形编码方法，建立数学模型对其进行推导，得到了用普通数学的极限理论解释分形编码的数学表达式，从而对由基本分形编码得到的解码图像中的像素点的值给出了确定的表达式。

Firstly , we introduce the basic theory of the coding and decoding of the channel which describe the possibility of the errorless transmission in the channel existing interference .

首先从信道编码的基本定理入手论述了在有干扰存在的信道上进行无差错传输的可能性，这是纠错编码研究的理论依据与努力方向。

与编码定理相关的网络解释 [注：此内容来源于网络，仅供参考]

algebraic addition theorem：代数加法定理

algebraic addition formula 代数加法公式 | algebraic addition theorem 代数加法定理 | algebraic coding theory 代数编码理论

algae：海藻

文章题目:摄影术(Photography)与艺术的关系文章题目:香农(Shannon)信息编码定理Information theory文章题目:海藻(algae)研究文章题目:照相和艺术文章题目:金星(Venus)凌日

noisy blacks：噪声黑区,噪声黑区

白噪声 noise, white | 噪声黑区,噪声黑区 noisy blacks | (谢农的)有噪声干扰的信道编码定理 noisy channel coding theorem

coding theorem：编码定理

coding 编码 | coding theorem 编码定理 | coding theory 编码理论

noiseless coding theorem：无噪编码定理

无源制导|passive guidance | 无噪编码定理|noiseless coding theorem | 无噪信道|noiseless channel

noisy channel coding theorem：(谢农的)有噪声干扰的信道编码定理

噪声黑区,噪声黑区 noisy blacks | (谢农的)有噪声干扰的信道编码定理 noisy channel coding theorem | 会产生噪声之接点 noisy contact

Shannon's coding theorem：向农编码理论

向农页表 Shannon page table | 向农编码理论 Shannon's coding theorem | 向农基本定理 Shannon's fundamental theorem

algebraic coding theory：代数编码理论

algebraic addition theorem 代数加法定理 | algebraic coding theory 代数编码理论 | algebraic curve of order one 一次代数曲线