本文提出了一种用于机器识字的汉字容错编码方法。
A kind of Chinese characters coding for computer cognition is presented in this paper.
基于单容错编码的数据布局已经不能满足存储系统对可靠性越来越高的要求。
The data placement scheme based on single-erasure correcting codes can not satisfy the requirement of storage system on reliability.
基于单容错编码的数据布局已经不能满足存储系统对可靠性越来越高的要求。
As the data placement scheme based on single-erasure correcting codes can not satisfy the requirement of storage system on reliability.
这部分内容与前面的视频容错编码算法共同构成了一个完整的高鲁棒性的无线视频传输解决方案。
This work together with previous work concerning error resilient video coding, form a complete solution for robust video transmission over wireless channels.
对基于多容错编码的数据布局的研究受到了广泛的关注，并且出现了一些三容错的布局算法，如HDD1，HDD2等。
Now there are more and more researches on the data placement scheme based on multi-erasure correcting codes such as HDD1, HDD2.
虽然这种我们称作T码的编码并不是MDS 码，但其具有高容错量、编译码方法简单和运算效率高等诸多优点。
This code is not maximum distance separable(MDS) but have so many other advantages such as highly fault tolerant, simple method of compute, high efficiency of coding and decoding.
因此，要在无线信道上开展视频业务，必须在保证视频编码压缩效率的同时，提高视频编码的容错性能。
Therefore, to realize real time transmission of video traffic over wireless channels, the error resilience of video coding must be improved, without significant compromises in video coding efficiency.
拓扑量子计算中信息编码是非局域的，基本上不受周围环境的影响，因此错误率很低，具有自动容错的功能。
Quantum information is encoded non-locally in TQC and it is not influenced by the interaction of qubits with their environment, so the fault rate can be very low.
为了提高模型的容错性，提出了基于最大似然译码原理的监测信号信息校正方法，然后利用编码基本网在无畸变信号的基础上进行故障诊断。
In order to enhance the fault tolerance ability of the fault diagnosis model, information correction is thus adopted based on the maximum likelihood decoding theory.
介绍了分布式视频编码技术在视频压缩及容错视频传输中的应用，并对其中关键技术的最新研究进展进行了综述。
The applications of DVC in video compression and error-resilient video transmission are introduced and the advances in key techniques are reviewed.
介绍了分布式视频编码技术在视频压缩及容错视频传输中的应用，并对其中关键技术的最新研究进展进行了综述。
The applications of DVC in video compression and error-resilient video transmission are introduced and the advances in key techniques are reviewed.
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