Manchester Encoding Implementation in MATLAB

In this documentation, we implement Manchester encoding using MATLAB with configurable 50% duty cycle capability. The implementation includes comprehensive visualization of both time-domain waveforms and frequency-domain power spectral density plots. Remarkably, our results exhibit identical waveform characteristics to those presented in Professor Guo Wenbin's Communication Principles course materials from Beijing University of Posts and Telecommunications. This experiment validates our accurate understanding and practical application of communication principles. Through MATLAB implementation, we utilize key functions including waveform generation algorithms, FFT-based spectral analysis, and customized plotting routines to demonstrate encoding principles. The successful execution deepens our understanding of Manchester encoding mechanisms and provides hands-on experience with digital signal processing techniques using MATLAB's signal processing toolbox. The implementation involves generating bipolar waveforms where each bit period contains transitions at the midpoint, ensuring self-clocking capability and DC balance. Power spectral density calculations employ periodogram methods with proper windowing techniques to accurately represent frequency characteristics. This successful experiment has further motivated our exploration of communication principles and digital signal processing applications.