MATLAB Implementation for Generating FSK Signals with Digital Modulation Analysis
Generation of FSK, BPSK, and QPSK signals with computational analysis of cyclic mean, cyclic autocorrelation, and cyclic spectral density using MATLAB
Explore MATLAB source code curated for "BPSK" with clean implementations, documentation, and examples.
Generation of FSK, BPSK, and QPSK signals with computational analysis of cyclic mean, cyclic autocorrelation, and cyclic spectral density using MATLAB
Simulation and evaluation of BPSK modulation performance under AWGN channel conditions with MATLAB implementation examples - valuable for communication system designers
Bit synchronization routine source code using BPSK modulation with Gardner algorithm implementation
A high-quality MPSK simulation suite featuring BPSK, QPSK, 8PSK, and 16PSK implementations. The program generates both BER vs. Eb/N0 curves and SER vs. Es/N0 curves using Monte Carlo simulation techniques with configurable modulation parameters and SNR ranges.
Analysis of Bit Error Rate (BER) statistics for BPSK matched filter systems. Implementation workflow: 1. Generate root-raised cosine waveform using BPSK signal generation 2. Add AWGN to simulate channel noise 3. Perform matched filtering on received noisy signals 4. Statistical BER calculation and performance evaluation using threshold detection and error counting algorithms
Simulink-based simulation model for BPSK modulation over Rayleigh fading channels. This model demonstrates the performance degradation of BPSK caused by Rayleigh fading effects and enables comparative analysis between Rayleigh and AWGN channel performances. The implementation includes BFSK_Rayleigh simulation for comprehensive modulation scheme comparison using MATLAB's communication blocksets and fading channel components.
This program simulates V-BLAST systems with multiple detection algorithms, supporting BPSK, QPSK, 16QAM, and 64QAM modulation schemes. The implemented detection methods include Maximum Likelihood (ML), Minimum Mean Square Error (MMSE), Zero-Forcing (ZF), and Zero-Forcing Successive Interference Cancellation (ZF-SIC) algorithms.
MATLAB simulation of BPSK baseband transmission system implementing core modules including binary information source input, BPSK modulation, transmit filter, receive filter, sampling, equalization, signal detection, BPSK demodulation, and information recovery output with BER curve generation capabilities.
Detailed analysis of BPSK bit error rate performance under Gaussian and Rayleigh channel conditions, including theoretical modeling and simulation approaches.
This study compares the SER (Symbol Error Rate) and BER (Bit Error Rate) performance of MLSE (Maximum Likelihood Sequence Estimation) equalization and MMSE (Minimum Mean Square Error) frequency-domain equalization for BPSK, QPSK, 8PSK, and 16QAM modulation techniques under known channel conditions, with implementation insights and algorithm explanations.