Description
This course will bridge the gap between the theory and implementation of Signal Processing Algorithms and their implementation in Python. All the lecture slides and python codes are provided.Why Signal Processing?Since the availability of digital computers in the 1970s, digital signal processing has found its way in all sections of engineering and sciences.Signal processing is the manipulation of the basic nature of a signal to get the desired shaping of the signal at the output. It is concerned with the representation of signals by a sequence of numbers or symbols and the processing of these signals.Following areas of sciences and engineering are specially benefitted by rapid growth and advancement in signal processing techniques.1. Machine Learning.2. Data Analysis.3. Computer Vision.4. Image Processing5. Communication Systems.6. Power Electronics.7. Probability and Statistics.8. Time Series Analysis.9. Finance10. Decision Theory11. Biomedical Signal Processing12. Health careCourse OutlineSection 01: Introduction of the courseSection 02: Python crash courseSection 03: Fundamentals of Signal ProcessingSection 04: Convolution of SignalsSection 05: Signal Denoising FiltersSection 06: Complex NumbersSection 07: Fourier TransformSection 08: FIR Filter DesignSection 09: IIR Filter Design
