Digital Baseband Transmission System

Communication principles experiments are fundamentally important practical exercises that can be conducted using MATLAB for simulating digital baseband transmission systems. In this experiment, students learn signal generation techniques using MATLAB functions like rand() for random sequence generation and rectpulse() for pulse shaping, along with the principles of Gaussian white noise generation implemented through awgn() function or randn() for additive noise simulation. Additionally, the experiment covers the implementation of R-filters (receiving filters) and T-filters (transmitting filters) using MATLAB's filter design tools like fir1() or fdesign for raised-cosine filtering, which are critical for proper system operation. Through comprehensive MATLAB coding and simulation, participants gain deep insights into the complete communication system workflow, including modulation, channel effects, filtering, and detection processes, thereby mastering core communication principles through practical implementation.