Digital Communication Foundations using GNU Radio

Understanding how data travels wirelessly is essential for modern engineering, but theoretical concepts can often feel abstract. This text-based course bridges the gap by showing you how to model and simulate digital communication systems using GNU Radio. You will transition from understanding basic signal theory to designing functional digital communication pipelines, learning how bits are transformed into waves and recovered at a receiver. What you'll learn: - Understand foundational digital signal processing concepts like sampling, quantization, and filtering. - Design software-defined radio flowgraphs in GNU Radio Companion to simulate transmitter and receiver paths. - Apply digital modulation techniques including BPSK, QPSK, and QAM. - Implement synchronization, timing recovery, and channel equalization techniques. - Write custom Python blocks to extend GNU Radio's simulation capabilities. - Analyze system performance under noise and simulated channel degradation. The course begins with essential signal processing terminology and mathematical foundations before guiding you through block-by-block simulations of transmitters, channels, and receivers. You will progress from simple analog concepts to complex packet-based digital transmission designs. Designed for students, hobbyists, and junior engineers new to software-defined radio, this course requires no prior hardware or advanced DSP experience. Start exploring the world of software-defined radio and master digital communication design today.