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coding theorem相关的网络例句

查询词典 coding theorem

与 coding theorem 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。

ABSTRACT This dissertation presents the author′s research contributions to joint source-channel coding theory and the joint coding theorem...

本文介绍了作者在信源—信道联合编码研究方面所作的主要工作,包括联合编码理论和联合编码算法两部分内容。

We also pursue the relations between 〓-distance and distortion-rate function, and obtain some interesting properties that are useful in the proof of coding theorem.

对于有失真情形,文章在简单总结率失真函数理论发展及其在图象压缩中的应用后,引进了随机场失真率函数的定义并证明了其重要性质。

The channel coding theorem, the source coding theorem.

信道编码理论和信源编码理论。

"Random Coding Theorem for Broadcast Channels with Degraded Components" IEEE Trans. on Info. Theory 19, no.

对於附有次级元件的广播式通道之随机编码理论〉《IEEE 期刊-资讯理论》19, no。

Source coding theorem.

信源编码定理。

Topics include: mathematical definition and properties of information; source coding theorem, lossless compression of data, optimal lossless coding; noisy communication channels, channel coding theorem, the source-channel separation theorem, multiple access channels, broadcast channels, Gaussian noise, and time-varying channels.

课程主题包括:针对「资讯」的明确数学定义及性质描述;信源编码理论、无失真资料压缩技术、最佳化无错误编码;杂讯干扰的通讯频道解析、频道编码理论、资讯来源-通道编码分离理论、多重存取频道解析,广播型态频道解析、高斯杂讯及多变量时间频道解析。

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)。

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