This course describes fundamental bases of signal processing, and necessary tools for their design and analysis. Course topics include a description of the linear time-invariant systems, analysis of signals, properties of system in digital format, and Fourier relations that determine the performance of biomedical systems. This course will also include Labs for students to be further familiar with what has been learn in lectures. This class may complement the courses of Engineering Mathematics (工數), Imaging Processing (影像處理), and Advanced Computational Imaging (高等計算影像術).

Scope of The Course 1.Fundamentals 基本原理 2.Linear Time-invariant Systems 線性非時變系統 3.Fourier Series & Fourier Transform 傅立葉級數與傅立葉轉換 4.Discrete Fourier Transform (DFT) 離散傅立葉轉換 5.Correlation and Convolution 6.Time/Frequency Characterization of Signals/Systems 時間/頻譜特徵 7.Sampling & Sampling Theorem 取樣與取樣定理 8.Biomedical Optics Systems 生醫光電系統 9.Digital Engineering Signal and Systems Lab數位生醫訊號處理實驗 10.MATLAB Introduction數位程式簡介 11.Some Application Examples 實際應用例子

Textbook: Oppenheim & Willsky, “Signals & Systems”, 2nd Adapted Ed. 2016 www.Pearson.com.tw ISBN: 978-986-280-353-0 Reference: S. Haykin & B.Van Veen, “Signals & Systems”, 1999 John Willey & Sons, 歐亞