穷尽搜索算法的英文

• full search algorithm

• "穷尽"英文翻译    limit; end; exhaustion
• "搜索"英文翻译    search for; ferret about; hu ...
• "算法"英文翻译    algorithm
• "穷尽搜索法" 英文翻译 :    full search method
• "全搜索算法" 英文翻译 :    full search algorithm
• "搜索算法" 英文翻译 :    bfs; enns; search algorithm; seqsearch
• "禁忌搜索算法" 英文翻译 :    tabu search algorithm
• "枚举搜索算法" 英文翻译 :    enumerative search
• "爬山搜索算法" 英文翻译 :    hill-climbing search
• "随机搜索算法" 英文翻译 :    random searching rs
• "通道搜索算法" 英文翻译 :    channel search algorithm
• "网络搜索算法" 英文翻译 :    tons
• "优先搜索算法" 英文翻译 :    bfs
• "有序搜索算法" 英文翻译 :    ordered search algorithm
• "直接搜索算法" 英文翻译 :    direct search algorithm
• "最优搜索算法" 英文翻译 :    optimal searching algorithm
• "穷举组合搜索算法" 英文翻译 :    exhaustive combinatorial search algorithm
• "搜索算法的信息性" 英文翻译 :    informedness of search algorithms
• "搜索算法的最优性" 英文翻译 :    optimality of search algorithm
• "基于动态规划图搜索算法" 英文翻译 :    graph searching formulation of dynamic programming
• "搜索算法的性能度量" 英文翻译 :    performance measure of search algorithm
• "检索算法" 英文翻译 :    search algorithm; searching algorithm
• "树检索算法" 英文翻译 :    tree search algorithm
• "规则-空间索算法" 英文翻译 :    rule-space search algorithm
• "最佳检索算法" 英文翻译 :    optimal searching algorithm

• The traditional codeword search algorithm ? full algorithm ( fs ) has a serious disadvantage , whose computation quantity will rise sharply with the increase of the codebook size and the codeword dimension
  传统的码字搜索算法? ?穷尽搜索算法会随着码书规模的增大和码字维数增加,计算量急剧增加。
• 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。
• Then , in order to reduce the coding time of each image vector , a fast algorithm based on mean - order - search is proposed . the simulation results of this algorithm show that its coding speed is twenty times faster than that of full search algorithm ( fs ) , but its reconstructed image is badly ruined
  其次，为减少每个矢量的编码时间，提出一种基于均值排序码书的快速搜索算法，测试结果显示，该算法编码速度是穷尽搜索算法的二十多倍，但是恢复图像的质量大大地降低了。