Signal Pattern Recognition Using Envelope and Differential Methods
Implementation of signal pattern recognition using envelope extraction and differential approaches for identifying QPSK, BPSK, AM, and FM modulation schemes
Explore MATLAB source code curated for "QPSK" with clean implementations, documentation, and examples.
Implementation of signal pattern recognition using envelope extraction and differential approaches for identifying QPSK, BPSK, AM, and FM modulation schemes
BER analysis of QPSK modulation in Rayleigh channels including Rayleigh distribution function implementation and performance evaluation metrics
MATLAB simulation of QPSK signal transmission through Rayleigh fading channel with successful performance validation
This QPSK SIMULINK-based modulation and demodulation simulation is guaranteed to execute successfully, featuring comprehensive code implementation details and performance validation.
This MATLAB code calculates and compares the Bit Error Rate (BER) performance of Maximum Ratio Combining (MRC), Equal Gain Combining (EGC), and Selection Combining (SC) diversity techniques using QPSK modulation, providing implementation details and algorithm explanations for wireless communication systems.
A comprehensive learning package for soft decision demodulation algorithms, containing both theoretical documentation for algorithm explanation and corresponding MATLAB implementation with support for four modulation schemes: PSK, QPSK, 16-QAM, and 64-QAM.
A comprehensive QPSK simulation program utilizing COSTAS loop for carrier recovery, fully compatible with SIMULINK environment
Comprehensive modulation and demodulation implementations for BPSK, QPSK, 8QAM, 16QAM, and 32QAM schemes featuring two distinct demodulation methods, designed as standalone modules compatible with various channel environments.
This MATLAB-based program performs comprehensive modulation simulations for BPSK, QPSK, and 8PSK schemes, with modular architecture supporting easy extension to MPSK and MQAM. The implementation comprises three core components: phase.m handles pulse shaping using rectangular, raised cosine, or square-root raised cosine pulses; model.m serves as the main program executing constellation mapping, pulse shaping, and modulation; command.m provides spectral analysis visualization for performance verification.
MATLAB code implementation of a modulated GUI interface featuring ASK, OOK, BPSK, QPSK, and 8PSK modulation algorithms with complete source code. The system visually demonstrates actual operation results through graphical representations of modulated signals.