gibbs phenomenon 中文意思是什麼

gibbs phenomenon 解釋
吉伯斯現象
  • gibbs : n. 吉布斯〈姓氏〉。
  • phenomenon : n. 1. (pl. -na ) 【哲學】現象 (opp. noumenon); 事件。2. (pl. phenomenons) 稀有現象;奇跡;珍奇;珍品;非凡的人。3. 【醫學】癥候。
  1. Only using coarse scale wavelet coefficients to reconstruct, standard wavelet transforms cannot possess excellent properties for general images which typically are piecewise continuous functions connected by large jumps. many problems arise near these jumps, caused primarily by the well - known gibbs ' phenomenon

    對于包含許多劇烈跳躍的圖像,由標準的小波變換產生的粗尺度小波系數進行重構,效果不理想,尤其在圖像的劇烈跳躍處會產生gibbs 』現象。
  2. In forward algorithm, we according to the high level coefficients to locate the jumps and modify the coarser level coefficients, which relate with the jumps. in inverse transforms algorithm, according to the locations to modify the datum, which relate with the jumps. we can reconstruct the image well by using this algorithm, and avoid the gibbs " phenomenon completely

    該演算法不必修改雙正交小波變換及其濾波器系數,在小波圖像分解時只是根據高頻小波系數定位圖像的跳躍處,修改關聯跳躍處的粗尺度小波系數;重構時根據演算法修改關聯跳躍處的重構數據,就能很好地重構原圖像,並從本質上消除了gibbs 』現象。
  3. To remove the effects of gibbs ' phenomenon completely, we bring forward an eno - biorthogonal wavelet transforms arithmetic combining with eno method. in this arithmetic, we need n ' t modify the biorthogonal wavelet transforms and the filter coefficients

    為消除這種現象,我們採用雙正交小波變換結合essentiallynon - oscillatory ( eno )思想,提出了一種eno -雙正交小波變換演算法。
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