摘要
简单介绍了基于扩张理论和粗集理论的优化算法、“贪心算法”和启发式搜索算法等典型特征选择的优化算法,并比较它们的性能,在此基础上选择启发式搜索算法用于信号特征的选择。最后用MATLAB编程验证了启发式搜索算法特征选择的有效性。
After a brief introduction of the theories of Extension Matrix and Rough Set, Greedy Algorithm, and Heuristic search Algorithm, this paper compares their performance in signal feature extraction applications. Based on the comparison, the paper recommends that the Heuristic search Algorithm be an easy implemented candidate for communication signal feature extraction. MATLAB codes are programmed to demonstrate the effectiveness of heuristic search algorithm in selecting the optimal feature subset.
出处
《航空电子技术》
2005年第1期25-28,共4页
Avionics Technology
关键词
特征选择
优化算法
扩张理论
feature extraction
improved algorithms
extension matrix theory
