快速码 meaning in Chinese
speed code
Examples
- The paper analyzes binary - split gradient & threshold initial codebook generation - algorithms , codebook generation algorithms based on kohonen self - organizing feature map neural network , a fast codeword searching algorithm using l2 - norm pyramid data structure , side - match vector quantization algorithms , and a fuzzy classified vector quantization algorithm , systematicly explores their application to image compression , computer simulation results show that they are practical and efficient
文中重点分析了二元分裂梯度与阈值初始码书生成算法、基于kohonen自组织特征映射神经网络的码书生成算法、基于l2范数金字塔数据结构的快速码字搜索算法、边缘匹配矢量量化算法、模糊分类矢量量化算法，系统地研究了它们在图像压缩编码中的应用，并进行了计算机仿真，实验结果表明这些算法是实际有效的。 - Firstly , based on conventional vq , a fast algorithm named equal - sum block - extending nearest neighbor search ( ebnns ) is presented , which not only can achieve the reconstructed image of full search algorithm but also can greatly reduce both the codeword search ratio and chip area . in order to improve coding efficiency , a new algorithm called correlation - inheritance coding is proposed , which is embedded in conventional vq system to improve compression ratio by re - encoding the indexes
首先，在普通矢量量化基础上提出了等和值块扩展最近邻快速码字搜索算法( ebnns ) ，该算法在图像画质达到穷尽搜索算法的前提下，大大降低了码字搜索率和硬件实现面积；为了提高编码效率，在相关性编码方面，提出了相关继承编码算法，对普通矢量量化后的编码索引进行无损重编码。