Upon successful completion of this course, students will be able to:
1. To characterize signals and systems of continuous or discrete time based on their properties.
2. To perform basic calculations of signals.
3. To understand functional spaces and generalized functions.
4. To describe signals and systems be means of Fourier, Laplace and Z transforms.
5. To utilize the Fourier, Laplace and Z transforms in calculations and in identifying signals and systems properties.
6. To identify systems stability.
7. To determine the outputs of continuous or discrete systems.
8. To apply the sampling theorem in continuous to discrete time mappings.
Course Content (Syllabus)
Vector and function spaces. Generalized functions. Fourier Series, Fourier and Laplace Transforms. Signal and system analysis in the time and the frequency domains. System stability. Sampling theorem. Discrete signals. Discrete signals Fourier and Z transforms. Difference equations. Transfer functions, stability and causality.