Digital Communication Systems Using Matlab And Simulink -

– The received signal passes through a Raised Cosine Receive Filter (matched filter). Then timing recovery (using Mueller & Muller or Gardner algorithm) corrects symbol timing offset.

– Insert a Raised Cosine Transmit Filter with 50% roll-off. Oversample by 8 to avoid aliasing. Digital Communication Systems Using Matlab And Simulink

– Map each pair of bits to a complex symbol using the QPSK Modulator Baseband block. Set average power to 1. – The received signal passes through a Raised

% Plot results semilogy(EbNo_dB, ber, 'bo-'); grid on; xlabel('Eb/No (dB)'); ylabel('BER'); title('BPSK over AWGN Channel'); hold on; semilogy(EbNo_dB, berawgn(EbNo_dB, 'psk', M, 'nondiff'), 'r-'); legend('Simulated', 'Theoretical'); Oversample by 8 to avoid aliasing

As communication standards evolve toward 6G—with terahertz bands, AI-native air interfaces, and reconfigurable intelligent surfaces—MATLAB and Simulink continue to adapt. The recent addition of the and AI for Wireless toolboxes ensures that engineers remain equipped to tackle tomorrow’s challenges.