在总结现有的矢量数据向栅格数据转换算法的基础上，提出一种面积误差最小约束下的优化算法。
Based on summarizing the existing algorithms of transferring vector data to raster data, an optimization algorithm is proposed.
本文给出了一种新的图像矢量量化码书的优化设计方法——粒子对算法。
This paper presents a new strategy of particle-pair(PP) for vector quantization(VQ) in image coding.
因此，同时利用角速率及角增量信号，优化设计出一类新的旋转矢量姿态算法，给出了算法的圆锥误差表达式，并进行了仿真分析。
In this paper, the improved attitude algorithms are developed using both angular rate and incremental angular signals, and the coning errors of the algorithms are given.
提出了一种线谱对参数预测多级矢量量化联合优化算法。
The proposed approach is tested on linear spectrum pair (LSP) parameters of speech signals.
讨论了等效转动矢量法及其衍生的一系列修正算法和优化算法，并作了精度分析和数字仿真，并对根据角增量提取角速率的方法进行了研究和验证。
It is discussed that the optimized attitude algorithms and corrected attitude algorithms which are derived from the former. Then those are analyzed and emulated in Matlab.
提出了一种针对码书优化的图像矢量量化算法。
An optimized VQ codebook design algorithm of image compression is introduced in this paper.
本文对该算法进行了优化处理，实现了栅格矢量化半自动跟踪和面状地物中心线提取。
This paper not only improved this algorithm but also implemented semi-automatic tracking grid-vectorization and central line pick-up using this algorithm.
本文对该算法进行了优化处理，实现了栅格矢量化半自动跟踪和面状地物中心线提取。
This paper not only improved this algorithm but also implemented semi-automatic tracking grid-vectorization and central line pick-up using this algorithm.
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