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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]

The recent research has shown that the network coding can make this theorem realized in multicasting network environment.

近来研究表明,网络编码可以使这一理论在多播方式的网络环境中得以实现。

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。

Therefore, the most important research areas in the network coding theory include multiple user channel, separation theorem for network coding and privacy capacity region.

网络中的信道通常是有噪声的,目前网络编码理论的研究重点包括经典多用户信道、网络-信道编码分离和网络安全编码等问题。

Its main task is to make students understand clearly and wholly the basic theory, analysis result and the latest development of information theorem and coding by teaching and exercises, which can build a substantial theory basis for studying the subsequent courses on the transmission, storage and processing of information, image and speech source compression and coding, and error-correcting coding for computer communication and wireless mobile communication, as well as the research and development of modern code theory.

它的主要任务是通过教学和习题,使学生对信息与编码的基本理论,主要分析结果以及最新的发展有一个清晰和完整的认识和理解。为学习和研究信息的传输,存储和处理相关类的后续课程,以及图像与语音信源压缩编码、计算机网络通信与无线移动通信纠错编码、以及各种现代密码理论与技术的研究和开发,打下坚实的理论基础。

Generally, the channels in a network are interfered by noises. Therefore, the most important research areas in the network coding theory include multiple user channel, separation theorem for network coding and privacy capacity region.

网络中的信道通常是有噪声的,目前网络编码理论的研究重点包括经典多用户信道、网络-信道编码分离和网络安全编码等问题。

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。

At the end,the problems in DVC key techniques are summarized. video coding ; Wyner-Ziv theorem ; distributed source coding ; key frame ; side information

然而一些视频应用场合恰恰相反,它们需要低复杂度的编码器,在解码端可以具有较高复杂度的解码器,比如计算能力

Schema Theorem ; Decimal coding ; Genetic Algorithm

十进制编码;遗传算法;模式定理

The main topics include entropy and mutual information, data compression, noiseless coding, Shannon theorem, noiseless coding, Shannon Theorem, linear codes, cyclic codes.

本课程宗旨是简介基础的资讯理论,主要课程含嫡及相互信息、资料压缩、无杂讯编码及Shannon定理、线性码、循环码等。

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。

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