QPSK Implementation Using MATLAB Simulink
A highly effective QPSK demonstration implemented with MATLAB Simulink, featuring comprehensive digital signal transmission simulation and verification capabilities
Explore MATLAB source code curated for "QPSK" with clean implementations, documentation, and examples.
A highly effective QPSK demonstration implemented with MATLAB Simulink, featuring comprehensive digital signal transmission simulation and verification capabilities
This resource covers essential source coding methods commonly employed in wireless communication systems, including QPSK, MASK, and other modulation schemes, with implementation insights.
Comprehensive overview of ZF, MMSE, QPSK, 16-QAM, MIMO 2x2/4x4, and V-BLAST technologies with signal processing implementations
Implementation of QPSK modulation and demodulation under Gaussian white noise and Rayleigh fading channel conditions (excluding multipath interference), using quasi-analytical methods for bit error rate performance calculation. The simulation workflow covers signal generation, filter configuration, QPSK modulation, additive white Gaussian noise injection, Rayleigh channel fading, QPSK demodulation, and BER computation with algorithm-specific implementation details.
QPSK modulation implementation; Comparative analysis of BER performance between DQPSK and QPSK over AWGN channels; OFDM system architecture and implementation
A MATLAB program for implementing QPSK modulation and demodulation with detailed signal processing algorithms.
A concise OFDM with QPSK simulation featuring AWGN channel modeling and bit error rate (BER) statistical analysis. This implementation demonstrates modulation/demodulation processes with code-level insights into key signal processing stages.
Implementation of MB-OFDM-UWB transmitter including signal generation, QPSK modulation, OFDM multicarrier modulation, and 802.15.3a channel structure specifications
Comprehensive BER (Bit Error Rate) analysis of QPSK modulation in Rician fading channels, including simulation implementation, statistical modeling, and performance evaluation techniques.
Our team has developed code for evaluating EVM (Error Vector Magnitude) metrics across QPSK, 16QAM, and 64QAM modulation techniques, implementing comprehensive signal quality analysis algorithms with configurable parameters for wireless system optimization.