MATLAB Program for 16QAM Modulation and Demodulation Implementation
MATLAB program implementing 16QAM modulation and demodulation with comprehensive code descriptions
MATLAB Implementation of BPSK Modulation and Demodulation with Extended Digital Modulation Schemes
MATLAB programs for BPSK, QPSK, 8QAM, 16QAM, and 32QAM modulation and demodulation. These modular implementations can be integrated into various channel environments and feature two distinct demodulation approaches with algorithm-specific implementations and key function descriptions.
MATLAB Simulation of 16QAM under Rayleigh Fading Conditions
MATLAB simulation of 16QAM modulation in Rayleigh fading channels, featuring bit error rate calculation, theoretical analysis, and implementation approaches using key communication functions
Simulation of Trellis-Coded 16QAM with Performance Analysis
Simulation of trellis-coded 16QAM modulation validating coding gain and bit error rate performance through MATLAB implementation
Convolutional Coding for Channel Encoding
The system implements convolutional coding with Viterbi decoding algorithm, supporting both QPSK and 16QAM modulation schemes across AWGN and Rayleigh channel models for comprehensive performance evaluation.
MATLAB Implementation of 16QAM Modulation and Demodulation
MATLAB implementation of 16QAM modulation and demodulation with constellation diagram visualization for signal transmission and reception analysis
Comparative Performance Analysis of MLSE and MMSE (Frequency Domain) Equalization for BPSK, QPSK, 8PSK, and 16QAM Modulation Schemes
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.
THP Precoding (QR Algorithm) Simulink Simulation Model
Simulink simulation model implementing THP precoding with QR algorithm, supporting both 16QAM and QPSK modulation schemes over Rayleigh fading channel (Simulink + M-files implementation)
Bit Error Rate Comparison with and without Channel Coding Technology
This program implements a complete digital communication system using 16QAM modulation, where a binary source is processed through (7,4) cyclic code for channel coding. The signal undergoes baseband modulation with a raised-cosine roll-off filter before upconversion to a high-frequency channel. Gaussian white noise is added to simulate channel conditions. The receiver employs matched filtering for demodulation, generates constellation diagrams, uses minimum Euclidean distance decoding for decision making, and performs channel decoding. The implementation compares bit error rates with and without channel coding through comprehensive simulation.
OFDM with 16QAM Modulation Implementation in MATLAB Simulink
Simulation of Orthogonal Frequency Division Multiplexing (OFDM) system with 16-QAM modulation scheme using MATLAB Simulink environment for wireless communication system analysis