| 1. | Fast fractal image coding algorithm based on reducing codebook
缩减码书的快速分形图像编码算法 |
| 2. | Realize the optimization of the initial codebook by using the fuzzy clustering method
模糊聚类法实现初始码书的优化 |
| 3. | The experiment shows that we can effectively improve the ability to global search and the quality of codebook
通过仿真实验，可以看出该算法码书的改善性能和寻优的高速率。 |
| 4. | During the training phase , codebooks based on extracted features are generated via vector quantization approach
在训练阶段，每一个说话者通过矢量量化产生一个码书（语音数据库） 。 |
| 5. | The classical algorithm of vq codebook design ? lbg algorithm and traditional codeword search algorithms are reviewed
回顾了经典的矢量量化码书设计算法? ? lbg算法和传统的码字搜索算法。 |
| 6. | In particular , the current research status and development history of vq codebook design and codword search are also introduced
特别是矢量量化码书设计和码字搜索的发展历程和研究现状。 |
| 7. | A novel fuzzy clustering algorithm named progressive constructive fuzzy clustering ( pcfc ) was presented , which was used in the application of image compression
摘要为了设计最化码书，提出了一种新的渐进构造模糊聚类( pcfc )算法，并将其应用到图像的矢量量化中。 |
| 8. | By comparison with other vq algorithms such as lbg and fcm , it is demonstrated that this algorithm can get high performance both in codehook quality and computing speed
通过与其他矢量量化算法（如lbg和fcm ）的比较，证明该算法不论在生成码书的质量还是在计算速度上具有很强的优势。 |
| 9. | 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。 |
| 10. | Adopting normal shape codebook had another good use , which afforded the possibility of directly constructing a new shape codebook without codebook training which needed mass of calculation amount
采用归一化波形码书获得的附加好处是提供了一种可能，即避开大运算量的码书训练过程，直接构造新的波形码书。 |
