ber-analysis

MATLAB-based wireless communications simulator for transmitting data over a high-mobility doubly-selective fading channel for various modulation techniques (OFDM, OTFS, ODDM)

DSP and communication systems simulation lab using Python, Jupyter, and MATLAB with FFT, filtering, and BER analysis.

Procedural Python simulator for an 8-channel WDM-RoF link over C+L bands for 5G fronthaul — models BER, Q-factor, SNR, capacity, and throughput across fiber lengths and bit rates without needing OptiSystem/VPI.

MATLAB simulations of hostile wireless channels: Rayleigh fading, Doppler, delay spread, DBPSK and OFDM modulation, BER vs SNR/bitrate analysis.

MATLAB simulation of a QPSK communication system with AWGN channel and Bit Error Rate (BER) analysis

MATLAB simulation of a digital communication system using M-QAM modulation, focused on BER analysis for 4-QAM under AWGN noise with SVM-based signal classification.

BPSK, QPSK, QAM modulation simulations with BER analysis | Python & MATLAB | ECE Digital Communication

Simulation of a Binary Phase Shift Keying (BPSK) communication system in MATLAB with modulation, noise addition, demodulation, message recovery, and Bit Error Rate (BER) analysis.

Comprehensive communication systems assignments covering analog (AM/FM) and digital (BPSK/QPSK/16-QAM) modulation, matched filter receivers, Monte Carlo BER analysis, and audio signal processing using MATLAB/Python.

Built from first principles, this project simulates ASK, FSK, and PSK modulation and evaluates system performance using BER vs SNR analysis — bridging communication theory with practical implementation.