time encoding中文是什么意思

• 时间编码

• "time"中文翻译    n. 1.时，时间，时日，岁月。 2.时候，时刻；期间； ...
• "encode"中文翻译    vt. 把(电文)译成电码[密码]. n. -ment ...
• "encoding" 中文翻译 :    编码（作用）; 第一个把要记的内容储存进去，叫做编码; 加密; 解码; 字集码
• "ambiguity encoding" 中文翻译 :    含糊编码
• "ambiguous encoding" 中文翻译 :    含糊编码; 模糊编码
• "audio encoding" 中文翻译 :    声频编码
• "automatic encoding" 中文翻译 :    自动编码
• "binary encoding" 中文翻译 :    二进制编码
• "bit encoding" 中文翻译 :    位编码
• "block encoding" 中文翻译 :    分块编码; 分组编码; 块编码
• "blocked encoding" 中文翻译 :    分组编码
• "chain encoding" 中文翻译 :    链编码; 链式编码
• "channel encoding" 中文翻译 :    信道编码
• "character encoding" 中文翻译 :    字符编码法; 字符集
• "church encoding" 中文翻译 :    church数; 邱奇数
• "compressed encoding" 中文翻译 :    压缩编码
• "content-encoding" 中文翻译 :    内容编码; 容编码
• "contour encoding" 中文翻译 :    轮廓编码 对具有均匀灰度的区域，只将其边界进行编码的一种图像压缩技术。
• "convolutional encoding" 中文翻译 :    卷积编码; 褶积编码
• "cycle encoding" 中文翻译 :    循环编码
• "data encoding" 中文翻译 :    数据编码
• "default encoding" 中文翻译 :    默认编码方式; 使用预设编码
• "delta encoding" 中文翻译 :    差分编码
• "dibit encoding" 中文翻译 :    两位编码
• "differential encoding" 中文翻译 :    差分编码; 微分编码

• This paper deals with the design and development of a real - time encoding system for mp3 player based on dsp
  本文论述了基于dsp的mp3随身听实时编码适配器系统的设计与开发技术。
• In many practical applications of h . 26l , real - time encoding is often required , but nowadays real - time can hardly be achieved on a single state - of - the - art computer
  在h . 26l的实际应用中，很多情况都需要进行视频的实时压缩编码，这对编码器的运算性能要求很高。
• Focusing on the feature of vliw , optimized mpeg audio encoding algorithm fixed - point parallelized programe . practising the real - time encoding of mpeg layer ii based on map - cadsp
  对mpeg音频编码算法进行算法的优化和定点化，从而可以在性价比较高的定点dsp上实现mpeg音频编码。
• The experimental results show that the compressed average bit is 8 . 3674 , 1 . 2442 bits less than the original entropy , and the efficiency of rice coding achieves 98 . 81 % . and the algorithm also has the advantage of real - time encoding in the system
  经过无损压缩算法处理,管道泄漏信号压缩后的平均位数达到8 . 3674bits ,比原始信息熵降低了1 . 2442bits ; rice编码的编码效率达到了98 . 81 % 。
• Cascaded low - density erasure codes are based on sparse random bipartite graphs . very efficient linear time encoding and erasure recover algorithms with the arbitrarily near erasure channel capacity performance of the codes with respect to the algorithms have made them one of the most optimal coding techniques up to now
  基于稀疏随机二部图的级联型低密度纠删码因其线性时间的编译码算法和可任意逼近删除信道容量限而成为目前最佳编码技术之一。
• Erasure codes which belong to standard classes of rs codes and their erasure correcting principles are introduced with emphasis on cascaded low - density erasure codes with linear time encoding and erasure recover algorithms . the encoding and decoding complexities of these codes are analyzed . 2
  介绍了标准的rs码类纠删码及其纠删原理，重点介绍了具有线性时间编码和恢复算法的渐近好码?级联型低密度纠删码，分析了这几类纠删码的编译码复杂度； 2
• The principles of erasure codes used under binary erasure channels are summarized and erasure codes which belong to standard classes of rs codes are introduced with emphasis on cascaded low - density erasure codes with linear time encoding and erasure recover algorithms . thresholds of regular degree distributions are analyzed . it is shown that low - density erasure codes based on ( d , 2d ) - regular sequences of degree distribution are not close to optimal ( d 3 ) . two pares of irregular degree distribution sequences are introduced and a pare of improved right regular sequences of low - density erasure codes are presented , it is testified that the new sequences are asymptotically quasi - optimal . in the meantime , simulations of cascaded low - density erasure codes based on a few types of special sequences of degree distribution available are given , together with performance analyses on these codes
  阐述了应用于删除信道下的纠删码基本原理，介绍了两类标准的rs码类纠删码，重点分析了具有线性时间编码和恢复算法的渐近好码?级联型低密度纠删码，分析了正则度分布的阈值，对正则低密度校验码在删除信道下的纠错性能进行了仿真，从理论上证明了基于( d ， 2d ) -正则度序列的低密度纠删码都不是渐近最优码( d 3 ) ，同时还分析了非正则低密度校验码的度序列设计，基于右边正则序列提出了一种改进型右边正则序列，证明了此序列为渐近拟最优的，对基于几类现有典型度分布序列的级联型低密度纠删码进行了模拟仿真及性能分析； 3
• A new remote sensing image coding scheme based on the biorthogonal wavelet transform and revised spiht algorithm is proposed according to the statistical characteristic of remote sensing image data . the experimental results show that the proposed scheme could largely speed up the encoding process and reduce computational complexity on condition that reconstructed image quality is sacrificed little . meanwhile , this scheme has advantage over other algorithms in real time encoding
  本文针对遥感图像的数据特点，提出了结合双正交小波变换和改进spiht算法的内嵌小波编码方案.实验结果表明，本文的方法能够在几乎不降低恢复图像质量的前提下降低了计算复杂度，提高了编码速度，有利于实时编码