Signals and Linear Systems Analysis
Course Code: EEE 225
Credit Hour: 3
Course Group: Core Courses
Introduction to linear systems and signal classification: signals- classification, basic operation on signals, elementary signals, representation of signals using impulse function; systems- classification. Properties of Linear Time Invariant (LTI) systems: Linearity, causality, time invariance, memory, stability, invertibility. Time domain analysis of LTI systems: Differential equations- system representation, order of the system, solution techniques, zero state and zero input response, system properties; impulse response- convolution integral, determination of system properties; state variable basic concept, state equation and time domain solution.
Analogous systems: f-v and f-i analogy, Electro-mechanical systems.
Frequency domain analysis of LTI systems: Fourier series- properties, harmonic representation, system response, frequency response of LTI systems; Fourier transformation properties, system transfer function, system response and distortion-less systems. Applications of time and frequency domain analyses: solution of analog electrical and mechanical systems.
Laplace transformation: Properties of Laplace transform, inverse transform, solution of system equations, system transfer function, system stability and frequency response and application.
Reference Books:
- Samir S. Soliman, Mandyam D. Srinath: Continuous and Discrete Signals and Systems
- B.P. Lathi : Signal Processing and Linear System
- A.V. Oppenheim, A.S. Willsky and I.T. Young: Signals and Systems
- S. D. Stearns and R. A. Davis: Signal Processing Algorithms in Matlab
- D.K. Cheng: Analysis of Linear Systems