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聯合 EMD 與 ICA 之單信號盲源分離

聯合 EMD 與 ICA 之單信號盲源分離. OUTLINE. introduction. method. Experiment. introduction. 經驗 模態分解法 ( Empirical Mode Decomposition, EMD) 利用資料變化的 內部時間尺度 來做能 量的 直接析出，將原來訊號資料展開成多個內建模態函數 ( Intrinsic Mode Function, IMF ). 原始信號. IMFs. Introduction(cont.).

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聯合 EMD 與 ICA 之單信號盲源分離

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  1. 聯合EMD與ICA之單信號盲源分離

  2. OUTLINE introduction method Experiment

  3. introduction • 經驗模態分解法(EmpiricalMode Decomposition, EMD) • 利用資料變化的內部時間尺度來做能量的直接析出，將原來訊號資料展開成多個內建模態函數(Intrinsic Mode Function, IMF) 原始信號 IMFs

  4. Introduction(cont.) • 獨立成份分析方法(Independent Component Analysis, ICA) • 利用兩個以上的感測器來收集資訊，利用非高斯測量找出其獨立成分

  5. method 分解 獨立分析 混合 取得內建經驗 模態模函數(IMFs) 取得新的內建經驗 模態模函數(New IMFs) 取得混合矩陣 (Mixing matrix)以及 獨立成分(ICs) 加總 分離出來的訊號 取得新的信號

  6. Experiment

  7. Experiment(cont.) 獨立成分

  8. Experiment(cont.) 重建信號

  9. Experiment(cont.)

  10. Experiment(cont.)

  11. Experiment(cont.) 獨立成分

  12. Experiment(cont.)

  13. Experiment(cont.) 重建信號

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