线性预测器 meaning in Chinese
linear predictor
Examples
- The gained snr is higher than the previous algorithm ’ s . a linear least square predictor is presented for the trajectory association algorithm . it can effectively reduce the prediction error and improve the trajectory detection probability
针对轨迹关联匹配算法中的轨迹预测误差大的问题,采用多点最小二乘( ls )线性预测器加以改进,减小了轨迹的预测位置误差,提高了目标轨迹的检测概率。 - What ’ s more , we design a 3d prediction compression scheme . the scheme is based on our optimal linear predictor and we use jpeg - ls lossless compression algorithm to compress the residual images . the scheme costs less time in computing , but works much better than jpeg - ls algorithm and software winrar
此外,用基于jpeg - ls的无损压缩算法对运用我们设计出的最佳线性预测器预测得到的残差图像进行压缩,运算速度很快,压缩比也大大优于jpeg - ls算法和winrar压缩软件,具有很强的实用性。 - Each band of hyperspectral image has the same physical structure , so we classification the first band , and design an optimal linear predictor for each class to make the mean prediction square error minimal , and then we use jpeg - ls algorithm to remove the spatial redundancy
由于高光谱图像每个波段都具有相同的物理结构,先对首幅图像进行分类,在每个子类中分别使用各自的最佳线性预测器,将该类中的相邻谱段进行预测并将预测残差均方降为最小,然后用jpeg - ls算法去除残差图像的相关性。 - Secondly , hyperspectral images are hard to compress because of their abundant details , complicated texture and insignificant special correlation . making use of the significant spectral correlation within the hyperspectral images , we propose an optimal linear predictor which makes the square error minimal
针对高光谱遥感图像细节丰富纹理复杂,空间相关性弱,难于压缩的特点,本文充分利用了高光谱遥感图像的谱间相关性,设计出对相邻谱段进行预测并将预测残差均方降为最小的一种最佳线性预测器。