CAJ | 학술논문

本文研究了利用一个自适应的三阶线性微分算子把一个复杂信号分解为若干简单信号的和，这些简单信号属于这个三阶线性微分算子的零空间．通过三个具体的信号分解的例子，展示了我们所提出算法的实用性．最后通过一个实例，对我们提出的算法与经验模态分解算法进行了比较，实验结果表明我们提出的算法要好于经验模态分解算法．
본문연구료이용일개자괄응적삼계선성미분산자파일개복잡신호분해위약간간단신호적화，저사간단신호속우저개삼계선성미분산자적령공간．통과삼개구체적신호분해적례자，전시료아문소제출산법적실용성．최후통과일개실례，대아문제출적산법여경험모태분해산법진행료비교，실험결과표명아문제출적산법요호우경험모태분해산법．
The operator-based signal separation approach uses an adaptive operator to separate a signal into additive subcomponents which are in the null space of a three order linear differential operator. We demonstrate the effectiveness of the proposed method by processing several signals. Finally, an example of our proposed algorithm compared to the empirical mode decomposition algorithm is given. The exper- imental results show that our proposed algorithm is better than empirical mode decomposition algorithm.