# Department of Electrical and Electronic Engineering, Kathmandu University

 EEEG 313
 EEEG 313                          SIGNALS AND SYSTEMS                                  3 Credits Objective: To understand the properties of continuous and discrete time systems and signals used in all branches of electrical engineering. Syllabus: Introduction: Signal classification, use of signals, examples of signals, continuous and discrete time signals and systems Linear Time-Invariant (LTI) Systems: Signal representation, use of pulses; Discrete-time LTI-systems: the convolution sum; Continuous-time LTI-systems: the convolution integral; Properties of LTI-systems Fourier Series and Transform: Fourier series: representation of periodic signals and properties; Fourier integral: representation of aperiodic and periodic signals; Forward and reverse/inverse Fourier transforms; Fourier transform properties Fourier Analysis for Discrete Time Signals and Systems: Discrete time Fourier series: representation of periodic signals and properties; Discrete time Fourier transform (DTFT): representation of aperiodic signals; Forward and inverse/reverse DTFT; Properties of DTFT Signal Transmission: Filtering: frequency selective and frequency shaping; Modulation Noise, Energy and Power: White and colored noise, stochastic signals, finite energy and finite power signals, Parseval's theorems, signal to noise ratio Sampling of Continuous Signals: Sampling and aliasing, the sampling theorem, conversion to discrete time signals, reconstruction and zero-order hold compensation Discrete Time Signals and Systems: Discrete time systems and difference equations; z-transform: convergence, properties, finite impulse response (FIR) and infinite impulse response (IIR) filters, correlation: cross correlation and auto correlation References: Poularikas and Seely, Signals and Systems 2nd Ed., PWS- Kent Publishers 1991 Oppenheim et al, Signals and Systems, PHI 1995 Chen, System and Signal Analysis, Saunders College Publishing Proakis and Manolaakis, Digital Signal Processing 2nd Ed., PHI 1995 KU Staff Webmail

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