The Digital Communication Laboratory course is designed to complement the theoretical concepts of digital communication through hardware implementation, computer simulation, signal analysis, and coding techniques.
The course begins with the practical implementation of basic digital modulation techniques, including ASK, PSK/BPSK, FSK, and DPSK. Students generate and demodulate these signals using electronic circuits and observe the corresponding waveforms. It focuses on simulation-based digital communication experiments. Students perform Gram–Schmidt orthogonalization, simulate binary baseband transmission over an AWGN channel, estimate BER using a matched-filter receiver, and study QPSK and 16-QAM modulation along with their constellation representations.
The course also introduces students to source and channel coding. Huffman coding is used to demonstrate source coding and data compression, while Hamming coding, CRC-CCITT, and convolutional coding provide practical understanding of error detection and error correction in digital communication system