Simulating Communication Systems with MATLAB

Understanding how signals travel through noisy channels is crucial for modern engineering, but building physical prototypes for every design is impractical. Simulating these systems using MATLAB allows you to test, analyze, and optimize communication links efficiently before implementation. In this text-based course, you will transition from basic signal theory to building functional simulation models of communication systems. You will learn to translate mathematical concepts of modulation, noise, and filtering into clean, executable MATLAB code. What you'll learn: Understand the foundational concepts of signals, systems, and noise representation in MATLAB; Simulate analog and digital modulation schemes, including AM, FM, BPSK, and QAM; Model communication channels by introducing Additive White Gaussian Noise (AWGN) and fading effects; Apply modern MATLAB scripting standards, including vectorized operations and efficient data visualization; Evaluate system performance by calculating and plotting Bit Error Rate (BER) curves against theoretical limits. The course begins with foundational definitions of signal representation in the time and frequency domains. You will then progress step-by-step through transmitter design, channel modeling, receiver design, and performance evaluation using practical code-based exercises. This course is designed for engineering students, hobbyists, and beginning developers who want to learn communication system modeling. No prior simulation experience is required, though a basic familiarity with algebra and general programming logic is helpful. Start reading today to master the fundamentals of communication system simulation.