課程資訊
課程名稱
隨機訊號分析
RANDOM SIGNAL ANALYSIS 
開課學期
98-2 
授課對象
生物資源暨農學院  生物產業機電工程學研究所  
授課教師
周呈霙 
課號
BME7402 
課程識別碼
631EM3140 
班次
 
學分
全/半年
半年 
必/選修
選修 
上課時間
星期二2,3,4(9:10~12:10) 
上課地點
知203 
備註
本課程以英語授課。上課教室在知武館二樓206室
總人數上限:10人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/982random_signal 
課程簡介影片
 
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課程概述

Course objectives: To become familiar with the theory of random sequences and stochastic processes. To learn the mathematical tools available for the analysis and estimation of random phenomena. To see how stochastic modeling is used in practice. 

課程目標
1. Review of basic probability: probability spaces, sample description spaces, events, probability measure, random variable, PDFs, PMFs, and pdfs, function of one, two, N random variables, expectations and moments, correlation coefficient, characteristic functions.
2. Random sequences: The meaning of a random sequence, stationary sequences, auto- and cross-correlation functions. Wide-sense stationary sequences; Power spectral density (psd); The Wiener – Khinchin Theorem.
3. Continuous-time random processes: The meaning of a random process; sample functions and sequences of random variables; the random telegraph signal; the binary switching sequence; the Markov random process; white noise; the independent-increment process; power spectrum and correlation functions; Input/output computations; power-spectral estimation.
4. Signal processing: The orthogonality principle; optimum interpolation; hidden Markov process; applications to speech processing; Wiener and Kalman filter.
 
課程要求
預修科目:工數、信號處理 
預期每週課後學習時數
 
Office Hours
 
指定閱讀
Athanasios Papoulis, S. Unnikrishna Pillai, Probability, random variables, and stochastic processes, 4th Edition, McGraw-Hill, c2002.  
參考書目
Athanasios Papoulis, S. Unnikrishna Pillai, Probability, random variables, and stochastic processes, 4th Edition, McGraw-Hill, c2002.
H. Stark and J. W. Woods, Probability and Random Processes with Applications to Signal Processing 3rd Edition, Prentice-Hall, 2002. 
評量方式
(僅供參考)
   
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