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課程名稱 |
訊號處理與頻譜分析
Signal Processing and Spectral Analysis |
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開課學期 |
111-1 |
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授課對象 |
工學院 結構工程組 |
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授課教師 |
羅俊雄 |
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課號 |
CIE5027 |
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課程識別碼 |
521EU3160 |
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班次 |
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學分 |
3.0 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
星期二6,7,8(13:20~16:20) |
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上課地點 |
土研405 |
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備註 |
本課程以英語授課。
總人數上限：25人 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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課程概述 |
一、課程名稱：訊號處理與頻譜分析
二、學 分 數：3
三、課程編號：521 U3160
四、負責教師：羅俊雄
五、課程目標：
Signal processing is widely used in engineering and physical sciences. This course discusses techniques to analyze signals (or data), particularly related to structural dynamic response data focusing on time/frequency domain data analyses (Fourier transform, digital filtering, and feature extraction). MATLAB code for signal processing will be introduced and applied to each lecture topic. |
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課程目標 |
Course Contents
1: Introduction to Random Signal
2: Sampling theory & discrete time Fourier transform, FFT
3: Correlation, Convolution & Power spectral density of signals
4: System Input & Output relationship
5: ARX model & system identification
6: Frequency domain decomposition (FDD)
7: Singular Spectrum Analysis (SSA)
8: Lowpass filter & integration (from acceleration to displacement)
9: Recursive ARX model (System Identification)
10: Time-Frequency analysis of signal-Part 1 (STFT & CWT)
11: Covariance-driven Stochastic Subspace Identification (SSI-COV-part 1)
12: Signal-based Damage assessment of structure |
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課程要求 |
1. Homework (70% - every 2 weeks).
2. Final mini project (30%)
3. Student may need to use MABLAB code for signal analysis
(signal analysis MATLAB tool for each lecture topic will be provided) |
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預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
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參考書目 |
A: Frequency domain analysis of signal
1. E. Oran Brigham, The Fast Fourier Transform and Its Application, Prentice-Hall Int. Inc. 1988
2. J.S. Bendat & A.G. Piersol, Random Data: Analysis & Measurement, Procedures, Wiley-Interscience, 1986.
B: Time-domain analysis of signal
1. R. K. Otnes & L. Enochson, Applied Time Series Analysis: Vol 1:Basic Technique, John Wiley & Sons, Inc. 1978.
2. T. Soderstrom & P. Stoica, System Identification, Prentice-Hall, 1989.
3. Nina Golyandina, et al., Analysis of Time Series Structure: SSA and related techniques, |
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評量方式
(僅供參考) |
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