Teaching Contents Lecture1-Introduction（2学时) Lecture 2-FFT,Periodogram,Blackman-Tukey method and their Applications(4学时) Lecture 3-Adaptive Wiener Filter and Biomedical Applications (6学时) Lecture 4-Parametric Model Method and Biomedical Applications (4学时) Lecture 5-Kalman Filter and Applications (4 Lecture 6-Establishing Causality With Whitened Whitened Cross- Correlation Analysis(4学时，讲2-3学时，讨论2学时) Lecture 7-Multivariate Signal Analysis and Biomedical Applications(4学时) Lecture8-Time Frequency Analysis(4学时) Lecture9-Four case studies(8学时) 总计：40学时
Lecture 1 – Introduction （2 学时） Lecture 2 - FFT, Periodogram, Blackman-Tukey method and their Applications （4学时） Lecture 3 - Adaptive Wiener Filter and Biomedical Applications （6 学时） Lecture 4- Parametric Model Method and Biomedical Applications （4 学时） Lecture 5 - Kalman Filter and Applications （4 学时） Lecture 6 - Establishing Causality With Whitened Whitened CrossCorrelation Analysis （4 学时，讲2-3学时，讨论2学时） Lecture 7 - Multivariate Signal Analysis and Biomedical Applications （4学时） Lecture 8 – Time Frequency Analysis （4学时） Lecture 9 – Four case studies (8学时） 总计：40学时 Teaching Contents
Teaching Contents ·Four Sections section 1:Introducing Biomedical Signal Processing, Reviewing basic digital signal processing knowledge section 2:Traditional signal processing method, including FFT and Periodogram,biomedical applications section 3:Modern signal processing technique,such as Adaptive Wiener Filter,Adaptive Noise Canceling, Autoregressive Method,etc section 4:Latest signal processing technique,e.g. SVD/PCA,ICA,Time-frequency analysis,including biomedical applications Section 5:Case study
Teaching Contents • Four Sections section 1: Introducing Biomedical Signal Processing, Reviewing basic digital signal processing knowledge section 2: Traditional signal processing method, including FFT and Periodogram, biomedical applications section 3: Modern signal processing technique, such as Adaptive Wiener Filter, Adaptive Noise Canceling, Autoregressive Method, etc section 4: Latest signal processing technique, e.g. SVD/PCA, ICA, Time-frequency analysis, including biomedical applications Section 5: Case study
Teaching forms Lecturing Seminar Computer experiments after course) Course book and Journal papers
Teaching forms • Lecturing + Seminar + Computer experiments after course) • Course book and Journal papers