与传统融合算法比较，该方法可以在增强影像细节信息的同时很好的保持图像光谱信息。
And compared with traditional fusion algorithms, this method can enhance the image detail while maintaining excellent spectral information.
分别利用普通话情感语音库和德语情感语音库进行实验，结果表明，与几种传统融合算法相比，改进的排序式选举法能够取得更好的融合效果，其识别性能明显优于单分类器。
According to the continuous space model for emotion, an improved queuing voting algorithm was proposed to implement the fusion of multiple emotion classifiers for a good emotion recognition result.
传统的数据融合算法-卡尔曼滤波算法，在参数选择上要求较高，选择不当即导致较大误差，影响算法效果。
The classical data fusion algorithm-Kalman algorithm needs a tight choice of the parameters, any improper choice may result in great error and lead to bad effect of the algorithm.
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