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encoding block
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  编码块
     Incorporating antenna grouping and encoding each group independently, the proposed scheme can reduce the complexity of the whole system by decreasing the size of Full Diversity Full Rate(FDFR) encoding block,moreover,the GFDFR MIMO-OFDM scheme used for transmission over frequency selective channels can obtain frequency diversity(or multi-path diversity) by further encoding each subcarrier group independently.
     该方案通过在发送端进行天线分组,各组独立编码,减小全分集全码率(FDFR,Full Diversity FullRate)编码块的大小从而降低系统编解码复杂度;
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  “encoding block”译为未确定词的双语例句
     PCR AMPLIFICATION AND CLONING OF THE GENG ENCODING BLOCK 2-5 IN MSP1 FROM THE FCC1/HN ISOLATE (SOUTHERN CHINA)OF PLASMODIUM FALCIPARUM
     恶性疟原虫FCC1/NH株裂殖子表面蛋白MSP1第2~5区基因的PCR扩增及克隆
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     The goal of this paper is to study the key issues both in encoding and decoding block and to realize the encoding block by hardware.
     本文主要研究了Turbo 码编译码算法中的关键问题,完成了Turbo 码编码器的硬件实现。
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  相似匹配句对
     Block and Z.
     B lock和Z.
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     Image compressing based on block encoding
     基于方块编码的图像压缩
短句来源
     A Preposed Implementation of Space-time Block Encoding
     空时分组编码的一种前置实现方法
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     Gypsum block
     石膏砌块
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     264encoding.
     264编码中比较耗时的模式判定(mode decision)部分,提出了优化算法。
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Image coding has been the important problem in the computer world nowadays. Vector quantization(VQ) is a lossy image compression technique presented recently. It has the advantages of low bit rate and simple decoding method. However,the encoding phase of the full search method need much computation. In order to reduce the encoding time,a lot of fast search algorithms are presented in the literatures. However,lots of these methods cannot further reduce the bit rate. In this paper,a novel image encoding...

Image coding has been the important problem in the computer world nowadays. Vector quantization(VQ) is a lossy image compression technique presented recently. It has the advantages of low bit rate and simple decoding method. However,the encoding phase of the full search method need much computation. In order to reduce the encoding time,a lot of fast search algorithms are presented in the literatures. However,lots of these methods cannot further reduce the bit rate. In this paper,a novel image encoding algorithm based on the fast correlation vector quantization (CVQ) is presented. The diagonal encoding sequence is adopted in this paper. During the encoding process,the correlation between the current processing block and the adjacent encoded blocks is used to predict the index of the input vector,thus both the average codeword searching range of each input vector and the bit rate are greatly reduced. Test results show that,compared with the image encoding algorithms based on the conventional full search method,the partial distortion search method and the double test method,the proposed algorithm needs much shorter encoding time and lower bit rate,although the encoding quality of the proposed algorithm is a little degraded.

图象编码已经成为当今计算机世界的重要问题 ,而矢量量化 (VQ)又是近年来有损图象压缩的一种重要技术 ,它的优点是比特率低以及解码简单 ,但是其穷尽搜索编码计算量较大 .为了降低编码时间 ,已经有多种快速算法出现在一些文献中 ,然而这些算法往往不能进一步降低比特率 .为了解决这一问题 ,因此提出了一种新颖的快速相关矢量量化 (CVQ)图象编码算法 .该算法对图象块的编码采用对角顺序 ,即在编码过程中根据当前图象块 (输入矢量 )与已编码的邻块之间的相关性来预测输入矢量的编码标号 ,从而大大降低了每个输入矢量平均码字的搜索范围和比特率 .测试结果表明 ,本文算法比传统的穷尽搜索算法、部分失真搜索算法和双测试算法的编码速度快 ,且比特率低 ,虽然编码质量有少许下降 .

By analysing statistical features of DC coefficient,computing intensity,row,and column histograms that are computed using DC coefficient of each 88 DCT encoded block in I frame,comparing the intensity,row,and column histograms of I frames,the transition point between two shots can be directly detected from raw MPEG video stream.

通过分析 MPEG视频流中 I帧的 8× 8DCT编码块的 DC系数的统计特征 ,用每个 88DCT编码块的 DC系数计算 I帧图象的亮度、行列直方图 ,比较 I帧之间直方图的差异 ,直接从原始的 MPEG视频流中侦测镜头切换点

A vector quantization algorithm based on puzzled block is presented,called as PBVQ (Puzzled Block Vector Quantization). The PBVQ adopts four-step side-match prediction to offer a block called puzzled block as the prediction of the current image block to be coded,and only one bit is needed to encode the current image block. In this scheme,an input image block can be selectively encoded by the proposed puzzled block,the dynamic codebook or the super-codebook...

A vector quantization algorithm based on puzzled block is presented,called as PBVQ (Puzzled Block Vector Quantization). The PBVQ adopts four-step side-match prediction to offer a block called puzzled block as the prediction of the current image block to be coded,and only one bit is needed to encode the current image block. In this scheme,an input image block can be selectively encoded by the proposed puzzled block,the dynamic codebook or the super-codebook according to the predefined distortion threshold. The proposed algorithm uses a four-step side-match prediction technique to optimize the spatial continuity of the encoded block to improve the coding performance and reduce error propagation efficiency. Experimental results show that the PBVQ achieve 30.92dB at 0.27bpp which is better than 29.82dB of IFMFSVQ,28.56dB of CSMVQ,28.64dB of GSMVQ. Therefore,the proposed algorithm significantly improves image quality especially at low bit rate (about 0.25bpp).

提出了拼凑块矢量量化编码方法,利用四步部分匹配预测技术获得一个拼凑块,作为当前图像块的预测被编码,只需一位便可以完成当前图像块的编码。在此编码方案当中,根据预先定义的匹配失真阈值,图像可以有选择地利用拼凑块、动态码本及码本库编码。四步部分匹配预测技术利用优化了每个图像编码块的像素空间连续性,改善编码性能,降低了误差传递效率。实验结果表明PBVQ在0.27bpp时得到了30.92dB的峰值信噪比,明显优于IFMFSVQ的29.82dB,CSMVQ的28.56dB,GSMVQ的28.64dB,很大程度地改善了重构图像质量,尤其在低比特率下。

 
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