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研究生:巫國煒
研究生(外文):Guo-Wei Wu
論文名稱:結合小波函數與FXLMS演算法於主動式噪音控制
論文名稱(外文):Active Noise Control by Using Wavelet Function and FXLMS Algorithm
指導教授:蕭俊祥蕭俊祥引用關係
指導教授(外文):Jin-Siang Shaw
口試委員:盧士一李春穎
口試委員(外文):Shih-Yi LuChun-Ying Lee
口試日期:2012-07-27
學位類別:碩士
校院名稱:國立臺北科技大學
系所名稱:機電整合研究所
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:中文
論文頁數:78
中文關鍵詞:FXLMS演算法主動式噪音控制Haar小波數位訊號處理器
外文關鍵詞:FXLMS AlgorithmActive Noise ControlHaar WaveletDigital Signal Processor
相關次數:
  • 被引用被引用:1
  • 點閱點閱:324
  • 評分評分:
  • 下載下載:44
  • 收藏至我的研究室書目清單書目收藏:2
本研究針對傳統回授式FXLMS演算法來改善噪音干擾時減噪量不足的情形,提出在管路減噪系統中,將FXLMS演算法搭配運用Haar小波函數轉換與低通濾波器,可達到更好減噪效果。文中首先討論管路所遭受的兩種噪音干擾源:管路系統量測雜訊與外部環境噪音。接著指出,經由模擬與實驗發現,對於上述兩噪音干擾源的各類型噪音(雙頻雜訊、四高頻雜訊週期訊號以及白雜訊訊號),透過結合小波轉換與低通濾波器的分析,可分離出正確的誤差訊號,並將訊號A/D轉換給數位訊號處理器作為第二路徑控制器使用。此時,藉由FXLMS演算法線上更新權重,再透過控制器所計算產生的反噪音訊號,輸出D/A給揚聲器,就可經由此種主動式的破壞性干涉,達到優於傳統方式的減噪效果。

In this study, we examine the use of the conventional feedback filtered-x least mean squares (FXLMS) algorithm to improve noise reduction during noise interference. We recommend the use of the FXLMS algorithm with Haar wavelet function transform and low-pass filters to improve noise reduction in duct noise reduction system. First, we discuss the two noise sources encountered in ducts: internal duct sensor noise and external environmental noise. Next, the conducted simulations and experiments indicate that a combination of wavelet transform and low-pass filter analysis can correctly isolate the error signals from each type of the disturbance noise (dual-tone, four-tone, and white noise). Analog to digital (A/D) signal conversion is performed and the signal is then sent to a digital signal processor that acts as second path controller. The FXLMS algorithm is then used to update the controller weights online. The anti-noise signal calculated and generated by the controller is then sent to a digital to analog (D/A) converter before being output to the speaker. This destructive interference signal can achieve superior noise reduction as compared to that of conventional methods.

中文摘要 i
英文摘要 ii
誌 謝 iii
目 錄 iv
表目錄 vi
圖目錄 vii
第一章 緒論 1
1.1 前言 1
1.2 聲音基本參數 2
1.3 主動式噪音控制的應用 3
1.4 研究目的 5
1.5 文獻回顧 5
第二章 控制理論與Haar小波訊號分析 9
2.1 主動式噪音控制 9
2.2 適應性數位濾波器 10
2.3 回授式Filtered-X LMS演算法 12
2.4 小波分析 16
2.4.1 連續小波轉換 18
2.4.2 離散小波轉換 21
2.4.3 多層解析度空間 21
2.4.4 小波分解與重建 25
2.5 第二路徑系統鑑別 31
第三章 電腦模擬管路減噪系統 34
3.1 模擬簡介 34
3.2 比較雙頻雜訊干擾下之減噪性能 35
3.3 比較四高頻雜訊干擾下之減噪性能 37
3.4 比較白雜訊干擾下之減噪性能 39
3.5 程式模擬結果 41
第四章 實驗架構與ANC控制流程 44
4.1 實驗架構 44
4.2 數位訊號處理器之硬體架構 45
4.2.1 整合式開發環境(CCS) 47
4.2.2 DSP函式庫 49
4.3 實驗環境 50
4.4 程式控制流程 51
第五章 實驗結果 53
5.1 實驗步驟 53
5.2 管路系統量測雜訊干擾 54
5.2.1 比較雙頻雜訊干擾下之減噪性能 54
5.2.2 比較四高頻雜訊干擾下之減噪性能 57
5.2.3 比較白雜訊干擾下之減噪性能 60
5.3 環境噪音雜訊干擾 63
5.3.1 比較雙頻環境噪音干擾下控制 64
5.3.2 比較四高頻環境噪音干擾下控制 67
5.3.3 比較白雜訊環境噪音干擾下控制 70
5.4 實驗結果討論 73
第六章 結論與未來展望 74
6.1 結論 74
6.2 未來展望 75
參考文獻 76

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