Explore MATLAB source code curated for "误码率" with clean implementations, documentation, and examples.
BER simulation of 16QAM modulation using Monte Carlo methods involves generating random symbol sequences, simulating channel effects, and evaluating performance under different SNR conditions, with code implementations for signal transmission and error counting.
OFDM communication simulation enables bit error rate calculation with graphical visualization
This function performs Alamouti space-time coding simulation with BERT (Bit Error Rate) vs. SNR (Signal-to-Noise Ratio) curve plotting capabilities
Implementation of constant modulus blind equalization algorithm for QPSK signals to reduce bit error rate after synchronization
A decoding simulation program for LDPC codes implementing the Log-BP algorithm, featuring BER and PER statistical charts across different SNR values. The implementation includes both MATLAB and C (C-MEX) versions with comprehensive documentation and code comments, demonstrating efficient message passing implementation and performance analysis capabilities.
MATLAB implementation of Direct Sequence Spread Spectrum (DSSS) with comprehensive bit error rate (BER) performance analysis, including modulation techniques, spreading sequence generation, and correlation-based signal recovery algorithms
Simulation programs for AWGN and BSC channels with configurable signal-to-noise ratio for AWGN and adjustable bit error rate for BSC, implemented using MATLAB/Simulink for digital communication system analysis.
Comparative Study and Simulation of PN Code Synchronization Approaches for BER Analysis in Direct Sequence Spread Spectrum Communication Systems with Implementation Code Descriptions
Amplify-and-Forward mode in cooperative communication, describing the system's bit error rate performance when relays employ signal amplification and forwarding, with implementation insights on signal processing algorithms.
Analysis of bit error rate performance in spread spectrum communication systems following transform domain prediction techniques for mitigating strong narrowband interference