Izlence

Basic elements of communication systems. Fourier theory and communication signals. Filters. Low-pass and band-pass signals. Amplitude modulation: double-sideband-suppressed-carrier and single-sideband modulation methods. Frequency-division multiplexing. Angle modulation: phase and frequency modulation (FM). Phase-locked loop. Nonlinear effects in FM. Random variables and processes. Power spectral density. Transmission of a random signal through a linear filter. Effects of noise on the performance of analog modulation techniques.

This course thoroughly explains modern communication systems, focusing on modulation. The course allows students to examine power, bandwidth, and complexity trade-offs in continuous-wave modulation through theoretical and practical MATLAB studies. The course also discusses the performance limitations of communication systems.

Upon successful completion of this course, students will be able to:
(1) Identify the basic elements of communication systems and their significance in communication engineering,
(2) Explain the Fourier series and transform and their importance in analyzing signals,
(3) Apply signal multiplexing, analog modulation, and demodulation while comparing their advantages and disadvantages,
(4) Analyze frequency and phase modulation, exploring their bandwidth requirements, advantages, and disadvantages,
(5) Evaluate noise in communication systems using probability theory and random processes,
(6) Formulate the performance of continuous-wave modulation systems under channel noise effects.

MATLAB with Communications Toolbox (https://www.mathworks.com/products/communications.html)