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研究生:張重然
論文名稱:Matlab圖形化使用者介面為基礎之數位教具:以頻率估測為例
論文名稱(外文):Matlab Graphical User Interface - Frequency Estimation as an Example
指導教授:陳益生陳益生引用關係
口試委員:張剛鳴林育德陳益生
口試日期:2013-06-25
學位類別:碩士
校院名稱:逢甲大學
系所名稱:通訊工程學系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2013
畢業學年度:101
語文別:中文
論文頁數:210
中文關鍵詞:圖形化使用者介面(GUI)演算法腦電波訊號(EEG)
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本論文針對頻率估測技術,以Matlab設計了一個便於使用的圖形化使用者介面(Graphical User Interface ,GUI)。此介面可對不同的輸入訊號,求出其相對之訊號頻率,並有簡單易用的特性,因此很適合在通訊、電子、訊號處理等相關課程上做為數位化輔助教具。
  文中我們首先介紹在此GUI中所用到的頻率估測技術,隨後介紹此GUI之建構過程、系統架構及相關之特色,並以腦電波訊號為例進行頻率估測結果之展示。最後再透過問卷對本系的大學部及研究所同學對此介面使用進行調查,調查之結果顯示我們所設計出來的GUI具有簡單好用之特性,並在相當程度上對同學們的學習做出幫助。

關鍵字: 圖形化使用者介面(GUI) 、演算法、腦電波訊號(EEG)
We design a graphical user interface (GUI) based on MATLAB programming for frequency estimation techniques. For different source signals, the GUI can be easily used to estimate the corresponding frequencies based on different frequency estimation algorithms. Hence the designed GUI can be served as a computer-aided tool for frequency estimation.
We first introduce the frequency estimation algorithms used in this GUI. Then we introduce the development of the GUI and its structure and properties. Particularly, we take electroencephalography (EEG) signals as an example to demonstrate the result of frequency estimation using the designed GUI. Finally, we make a survey to help understand the graduate and undergraduate students’ opinions on the developed GUI. The survey shows the proposed GUI is simple to use and is helpful to study.
Keywords: graphical user interface(GUI)、algorithm、electroencephalography (EEG)
一、前言
1.1研究目的與動機 p.1
1.2論文架構 p.2
二、頻率估測的理論與技術 p.3
2.1快速傅立葉轉換 p.3
2.2以特徵分解為基礎的演算法 p.6
2.2.1 MUSIC(MUltiple SIgnal Classification)演算法
p.7
2.2.2 ESPRIT(Estimation of Signal Parameters via Rotational Invariance Techniques) 演算法 p.7
2.2.3 PHD(Pisarenko&;#39;s Harmonic Deposition) 演算法
2.3 一個以特徵分解為基礎的新型演算法 p.9
2.3.1 演算法推導過程 p.9
2.3.2 與其他演算法的比較 p.11
2.4頻率估測在工程上的應用及其重要性 p.12
2.4.1頻率估測在通訊系統上的應用 p.12
2.4.2頻率估測介面應用於腦電波估測 p.12
2.4.3頻率估測在工程上的重要性-以電力系統為例 p.13
三、Matlab圖形化介面 p.16
3.1 圖形化介面(GUI)介紹 p.16
3.2 編譯過程 p.17
3.2.1 基本設計環境 p.17
3.2.2基本物件簡介 p.17
3.2.3常見指令及其簡易應用 p.19
3.3介面特色及圖形化介面好處 p.23
3.3.1 執行外部exe p.23
3.3.2 Active X p.23
3.3.3 單檔讀入 p.25
3.3.4 批次分析 p.25
3.3.5 防呆及偵錯功能 p.26
3.3.6 螢幕解析度 p.27
3.3.7參數及結果輸出 p.27
3.4 RAM使用量降低技術 p.28
四、系統架構與研究結果展示 p.30
4.1系統模型 p.33
4.2介面研究成果展示 p.34

五 、頻率估測-以BCI系統估測腦電波訊號為例 p.40
5.1 BCI系統與腦電波介紹 p.40
5.2 估測資料來源_EEG訊號 p.42
5.3 實驗數據及結果 p.46
5.4 腦電波數據搭配客製化使用者介面 p.47
5.5問卷回饋與成果分析 p.52
六、結論與未來展望 p.66
6.1結論 p.66
6.2未來展望 p.66
七、參考文獻 p.67
附錄1. 調查問卷樣本 附錄p.1
附錄2. 附錄 取得.mat訊號檔案至個人運算裝置 附錄p.4
附錄3. 腦波頻率估測數據列表 附錄p.19
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