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Digital Signal Processing

Course Aim:
The main aim of the course is to develop students’ knowledge about the fundamentals of digital signal processing (DSP) systems and digital filters design.
Course contents:
Introduction to Signals and Systems, Classification of signals and mathematical representation of some common signals, System properties, Linear time-invariant systems, Convolution and Correlation., Laplace transform, System convolution using Laplace transform, Frequency Analysis: The Fourier Series, Frequency Analysis: The Fourier Transform, Sampling theory, The Discrete Fourier Transform (DFT), Introduction to digital filters

Course ID
CSC381
Level
Undergraduate
Credit Hours
CH:3