2 項進行中

115-1 選課時程

進行中

  • 初選第一階段 6/15 – 6/18
  • 初選第二階段 6/22 – 6/25
  • 校際選修 進行中 8/24 – 9/18
  • 初選第三階段 8/31 – 9/3
  • 開學後加退選 進行中 9/7 – 9/21
  • 逾期加退選 9/21 – 9/24
選課資源

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時頻分析與土砂監測之應用

Time Frequency Analysis and its Application to Sediment Monitoring

學期
109-1
學分
0 學分
當期課號
5345
永久課號
ICV5344
開課單位
土木工程學系
授課教師
趙韋安
校區
光復
類別
選修
上課時間表
週二
5
13:20–14:10
時頻分析與土砂監測之應用
EB403(光復)
3 節連堂
6
14:20–15:10
7
15:30–16:20

* 根據陽明交大上課時間表所列

概述

Course Description: 1. Fourier transform (FT) ‧ Forward and inverse FT ‧ Fourier transform properties ‧ Correlation and convolution ‧ Discrete Fourier transform (DFT) ‧ Comparison of Fast Fourier transform (FFT) and DFT ‧ Fortran programming on FFT 2. Filter design ‧ Ideal filter ‧ Butterworth filter ‧ Gaussian filter ‧ Fortran programming on Butterworth filter 3. Seismic noise classification ‧ Tidal and ocean wave ‧ Wind and other anthropogenic sources (traffic, explosion) ‧ Turbulent flow ‧ Bedload transport 4. Application of time frequency analysis (focus on geohazards) ‧ Location method for landslide ‧ Seismic model for turbulent flow ‧ Seismic impact model for bedload saltation Why Fortran? ‧ Easy to learn ‧ Many aspects common among computer programming languages ‧ Programming is effective to improve your understanding (it is impossible to write a code without proper understanding) Objective: This course provides a comprehensive introduction to Fourier transform properties and filter design, and builds a solid foundation of skills to progress on to the advanced analysis of time series data. Next, the course gives a brief introduction of time-frequency analysis such as S-transform and wavelet transform, and shows a comparison of wavelet transform and FT method in the time-frequency plane. Based on the aforementioned knowledge, this course further focuses on the concept of seismic monitoring of landslide and river sediment transport, and its current developments and implementations in Taiwan.

先修科目

Engineering Mathematics, Computer Programming

備註

無備註

教學方式

Computer and whiteboard.

評分方式

Homework 70%,Term paper 30%

課程大綱
  • Fourier transform (FT)

    1. Fourier transform properties 2. Correlation and convolution 3. Discrete Fourier transform 4. Fast Fourier transform

    講授:
    9
    示範:
    2
    實作:
    2
  • Time-frequency analysis

    1. Short-time window Fourier transform 2. S-transform 3. Wavelet transform

    講授:
    9
    實作:
    3
  • Filter design

    1. Ideal filter 2. Butterworth filter 3. Gaussian filter

    講授:
    3
    示範:
    1
    實作:
    1
  • Fortran programming

    1. Data types, declaration, formatting and file handling 2. Looping, arrays, subroutines and I/O files

    講授:
    6
  • A brief introduction of seismology

    1. Introduction of seismometer 2. A brief introduction of seismic wave 3. Deployment of portable seismometer

    講授:
    4
    示範:
    1
    實作:
    1
  • Application of time frequency analysis

    1. FFT application 2. Spectrogram 3. Seismic noise classification 4. Landslide location method 5. Seismic model for turbulent flow 6. Seismic physical im

    講授:
    7
    示範:
    3
    實作:
    2
週次計畫
週次主題
第 1 週

Fortran programming language: data types, declaration, formatting and file handling

9/15
第 2 週

Fortran programming language: looping, arrays, subroutines and I/O files

9/22
第 3 週

Fourier transform

9/29
第 4 週

Fourier transform properties

10/6
第 5 週

Discrete Fourier transform

10/13
第 6 週

Fast Fourier transform and Programming on FFT

10/20
第 7 週

Filter design techniques

10/27
第 8 週

Time-frequency plane and S-transform

11/3
第 9 週

Wavelet transform-I

11/10
第 10 週

Wavelet transform-II

11/17
第 11 週

Midterm presentation

11/24
第 12 週

Introduction of seismometer and deployment of portable seismometer

12/1
第 13 週

A brief introduction of seismic wave

12/8
第 14 週

Time-frequency analysis: seismic noise classification (ocean wave, turbulent flow, bedload transport)

12/15
第 15 週

Programming on seismic method for landslide location determination (Filter and correlation scheme)

12/22
第 16 週

Power spectral density (PSD) analysis of turbulent- and bedload-induced seismic signals

12/29
第 17 週

Open discussion

1/5
第 18 週

Term paper

1/12
教科書

1. The Fast Fourier Transform and Its Application. By E. Oran Brigham (1981). 2. Wavelet Transforms and Time-Frequency Signal Analysis. By L. Debnath (2001). Referred journal articles: 3. Chao, W. A., Y. M. Wu, L. Zhao, V. C. Tsai and C. H. Chen (2015) Seismologically determined bedload flux during the typhoon season, Sci. Rep., 5, 8261; doi: 10.1038/srep08261. 4. Chao, W. A., L. Zhao, S. C., Chen, Y. M. Wu, C. H. Chen and H. H. Huang (2016) Seismology-based early identification of dam-formation landquake events, Sci. Rep. 5, 19259; doi: 10.1038/srep19259. 5. Chao, W. A., Y. M. Wu, L. Zhao, H. Chen, Y. G. Chen, J. M. Chang and C. M. Lin (2017) A first near real-time seismology-based landquake monitoring system, Sci. Rep. 7:43510; doi: 10.1038/srep43510.

Office Hours
地點
Engineering Building 2, R312
時間
p.m. 3:30 ~ 4:30 Wed.
聯絡方式
vvnchao@gmail.com 03-5712121#54908