This paper gives an adaptive edge detection algorithm based on rough set, carries out some researches on the ba-sic theory, realization and complexity of the algorithms.
利用粗糙集理论，给出了一种基于粗糙集的图像边界检测算法，研究了算法的基本原理、实现和复杂度。
To overcome these problems, two improved AFSA named AAFSA_FP and AAFSA_SP were proposed based on idea of adaptive. Then the new algorithms are applied to solve the multiuser detection problems.
为了克服这些缺点，本文对该算法进行了改进，得到两种自适应人工鱼群算法（AAFSA_FP和AAFSA_SP），并首次用其构建了新的多用户检测器。
To overcome these problems, two improved AFSA named AAFSA_FP and AAFSA_SP were proposed based on idea of adaptive. Then the new algorithms are applied to solve the multiuser detection problems.
为了克服这些缺点，本文对该算法进行了改进，得到两种自适应人工鱼群算法（AAFSA_FP和AAFSA_SP），并首次用其构建了新的多用户检测器。
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