信阳师范学院学报（自然科学版）
信暘師範學院學報（自然科學版）
신양사범학원학보（자연과학판）
JOURNAL OF XINYANG NORMAL UNIVERSITY(NATURAL SCIENCE EDITION)
2014年
3期
401-405
,共5页
形态小波%ENO插值%ENO形态小波%信号处理
形態小波%ENO插值%ENO形態小波%信號處理
형태소파%ENO삽치%ENO형태소파%신호처리
morphological wavelet ( MW)%ENO interpolation%ENO MW%signal process
提出了ENO形态小波算法，利用ENO插值基本无振荡的特性，改进了重构策略，即对原始信号进行形态小波算法分解，按ENO插值法进行重构。把该算法应用到信号处理中，实例分析结果表明，与形态小波相比，该算法取得的效果更好。
提齣瞭ENO形態小波算法，利用ENO插值基本無振盪的特性，改進瞭重構策略，即對原始信號進行形態小波算法分解，按ENO插值法進行重構。把該算法應用到信號處理中，實例分析結果錶明，與形態小波相比，該算法取得的效果更好。
제출료ENO형태소파산법，이용ENO삽치기본무진탕적특성，개진료중구책략，즉대원시신호진행형태소파산법분해，안ENO삽치법진행중구。파해산법응용도신호처리중，실례분석결과표명，여형태소파상비，해산법취득적효과경호。
The one dimension ENO (essentially non-oscillatory) MW (morphological wavelet) algorithm was pro-posed, the characteristics of ENO interpolation basically without oscillation was used , and the reconstruction strategy was improved.That is, original signal was decomposed by MW algorithm , and reconstructed according to ENO interpo-lation method .The algorithm was applied to the signal processing .The results showed that the mentioned ENO MW al-gorithm has better perfermance than the existing MW .
