为提高PID控制的自适应性能，提出了一种神经网络PID自适应控制算法。
A neural network PID control algorithm is presented to improve the PID adaptive control performance.
在分析红外焦平面阵列非均匀性校正现行算法的基础上，提出了一种具有自适应性能的新算法。
Based on the analysis of the present algorithms of IRFPA nonuniformity correction (NUC), a new adaptive technique was discussed, to which the wavelet filter theory was applied.
本文结合图像运动分析中的光流技术，提出了一种新的基于场景的连续校正算法，该算法具有较好的自适应性能。
Based on the optical flow technique in image motion analysis, a new continuous correction algorithm based on scene is proposed in the paper. The algorithm has a better adaptive performance.
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