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Course Contents
- Review of signals and systems and their properties.
- Modeling of Dynamic Systems.
- Linear Constant Coefficients Differential Equation (LCCDE) and Difference Equation.
- Review of Laplace transform.
- Transfer Function.
- Poles and Zeros.
- Sampling and Reconstruction.
- Up-sampling and down sampling.
- Z-transform and its application in the analysis of Discrete LTI system.
- computation of frequency response from Pole.
- Zero plot.
- Review of the Frequency domain analysis of Continuous time systems.
- CTFS, CTFT, DTFT, DFT (DTFS), FFT.
- Design and implementation of analog and digital finite impulse response (FIR) and infinite impulse respons (IIR) filters.
- A quick introduction to statistical signal processing.
- feature extraction and pattern recognition techniques.
- Case Studies of various Biomedical Signals: ECG, EEG
Lab Outline
- Introduction to MATLAB Signal Processing Tool Box
- Signal generation, convolution, impulse response
- Up- Down- Sampling
- Spectral Leakage and Zero Padding
- Introduction to Simulink
- Sampling and Reconstruction through Simulink
- Frequency Response of Discrete Time Systems
- Implementation of FFT DIT algorithm in MATKAB
- Design and Implementation of LP, HP filter
- Design and Implementation of BP filters
- Data classification
- ECG acquisition and introduction MIT/BIH arrhythmia database
- QRS Detection: Pan-Tompkins Algorithm Part I
- QRS Detection: Pan-Tompkins Algorithm Part I
- ECG Rhythm Analysis
Biomedical Engineering Principles by 
Discrete-Time signal processing by 
Navigation Signal Processing for GNSS Software Receivers by 
Biomedical Digital Signal processing by 
Problems and solutions in signals and systems by 