1) time-dependent Tsallis entropy
时变Tsallis熵
1.
Two estimating algorithms,time-dependent Tsallis entropy(E_(TsEn)) and time-dependent approximate entropy(E_(ApEn)),are provided to analyze the dynamic transformation of cognitive event-related potential complexity in Stroop tasks.
提供了两种分析认知事件相关电位(ERP)复杂度动态变化的估计算法———时变Tsallis熵(ETsEn)和时变近似熵(EApEn),并将其应用于分析Stroop任务中ERP的动态复杂度。
2) tsallis entropy
Tsallis熵
1.
Image segmentation based on 2D Tsallis entropy with improved pulse coupled neural networks;
基于二维Tsallis熵的改进PCNN图像分割
2.
Tsallis entropy and nonextensive statistical mechanics;
Tsallis熵与非广延统计力学
3.
Fast SAR image segmentation method based on grey Tsallis entropy
基于灰色Tsallis熵的SAR图像快速分割
3) Tsallis– Havrda– Charvát entropy
Tsallis–Havrda–Charvát熵
4) Tsallis entropy difference
Tsallis熵差
1.
Edge detection method based on Tsallis entropy difference of remote sensing image
基于Tsallis熵差的遥感图像边缘检测方法
5) Tsallis-cross entropy
Tsallis交叉熵
1.
Image thresholding segmentation based on two-dimensional minimum Tsallis-cross entropy
基于二维最小Tsallis交叉熵的图像阈值分割方法
6) two-dimensional Tsallis-Havrda-Charvat entropy
二维Tsallis-Havrda-Charvat熵
补充资料：时变
1.四时季节的变化。 2.时世的变化。亦指时世变化的规律。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条