Course Details
Subject {L-T-P / C} : BM6301 : Biomedical Signal Processing { 3-0-0 / 3}
Subject Nature : Theory
Coordinator : Prof. Kunal Pal
Syllabus
Introduction to signals and systems: Signals and their classifications, Useful signal operations, Systems and their classifications, Digital signal processing and their applications.
Introduction to transforms: Fourier Series, Fourier Transform, Discrete Time Fourier Series, Discrete Time Fourier Transform, Discrete Fourier Transform, Laplace Transform, Z- Transform
Basics of digital filtering: Sampling, Digital filter operators, Rubber membrane concept, Filter design by placement of poles and zeros
IIR Filter design: Impulse and step Invariant method, Bi-linear transform method, Butterworth filter, Chebyshev filter, Frequency transformation method, Structural realization of IIR filters, Integrators.
FIR filter design: Types of FIR filter, Fourier series method, Windowing method, Frequency sampling method, FIR digital differentiators, FIR Hilbert transformers
Signal Modelling: AR, MA, ARMA, ARIMA.
Time frequency Analysis : STFT, Heisenberg-Gabor inequality, The Wigner-Ville distribution, WT, WPD
DSP hardware: Design methodologies, microprocessor architecture (8085 and 8086 ), and overview of programming
Application notes: ECG signal processing, HRV analysis, EOG signal processing, EEG signal processing, EMG signal processing, etc.
Course Objectives
- To have an understanding on the key theoretical principles of various transforms related to the digital signal processing
- To have an understanding on the filter designing techniques
- To have an understanding on the advanced signal processing techniques
- To have an understanding on the DSP hardware architectures
Course Outcomes
After the completion of the course, the students will be able to: <br />1. grasp fundamental principles of the biomedical signal processing <br />2. understand the role of transforms in signal processing and filter designing <br />3. perform complex numerical for the analysis of the biomedical signals <br />4. understand the challenges and limitations of various signal analysis techniques <br />5. get acquainted with some of the state-of-art modern signal processing techniques
Essential Reading
- J. G. Proakis and D. G. Manolakis, Digital Signal Processing: Principles, Algorithms, and Applications, Pearson Education India , Fourth Edition, 2007
- P. R. Babu, Digital Signal Processing, Scitech Publications (India) Pvt.Ltd , 2014
Supplementary Reading
- A. Kumar, Digital Signal Processing: Principles, Algorithms and Applications, Prentice Hall India Learning Private Limited , Second Edition, 2015
- A. N. Kani, Digital Signal Processing, McGraw Hill Education , Second Edition, 2017