Simulation System for QPSK Modulation with Implementation Insights
A comprehensible simulation system for QPSK modulation with embedded code-level explanations
MATLAB Code Implementation for Radar Simulation Functions
Radar simulation functions implemented using MATLAB, including demodulation, mixing, modulation, Pulse Amplitude Modulation (PAM), Phase Shift Keying (PSK), and compression encoding, with detailed code-based explanations and algorithm implementations
BPSK Modulation and Demodulation with Direct Sequence Spread Spectrum System Source Code
Complete source code implementation for BPSK modulation and demodulation using Direct Sequence Spread Spectrum (DSSS) system, featuring BER performance comparison under white noise and Rayleigh fading channel conditions.
MATLAB Implementation of GMSK Signal Modulation Using Lookup Table Algorithm
MATLAB-based GMSK signal modulation implementation employing lookup table methodology for efficient signal processing
MATLAB Code Implementation for Fundamental Communication System Simulation
Fundamental communication simulation suitable for beginners, featuring modulation, analysis, and other key components: classical IIR filter implementations (Butterworth, Chebyshev), Bartlett periodogram, windowed Bartlett periodogram, baseband waveform simulation, Bessel filter design, Binary Symmetric Channel emulation, bit sequence generation, Remez filtering algorithm, BPSK composite baseband signal simulation, carrier wave generator, elliptical filter design, FFT analysis, FSK modulation and demodulation techniques, Gaussian noise simulation with variance control, histogram analysis, ideal AM modulation, linear phase-locked loop (PLL), bandpass scrambler, ideal MPSK implementation, Quadrature Amplitude Modulation (QAM) with constellation mapping, Quadrature Phase Shift Keying (QPSK), Rayleigh noise modeling, and Yule-Walker power spectral density estimation.
MATLAB Simulation of an OFDM System
This MATLAB simulation of an OFDM system, written by a foreign author, is exceptionally comprehensive. It includes functionalities for synchronization, modulation, demodulation, and more, accompanied by complete algorithm documentation. The simulation offers practical implementation details across the full OFDM signal processing chain.
Simulation of BPSK System Transmitter
MATLAB implementation of BPSK system transmitter featuring modulation, interpolation, pulse shaping filter, and carrier modulation modules with code-level implementation details
Communication Process Simulation: Source Generation, Channel Coding, Modulation, Transmission, Demodulation, Decoding, and Error Comparison
Simulink-based Simulation Methodology for Communication Processes including Source Generation, Channel Coding, Modulation, Channel Transmission, Demodulation, Channel Decoding, and Error Comparison. Performance Analysis of Multiple Modulation Schemes (2FSK, 2PSK, QPSK, 16PSK, 16QAM) under Various Signal-to-Noise Ratio Conditions.
MATLAB Simulation of 16-QAM Baseband Transmission System
This MATLAB simulation implements key modules of a 16-QAM baseband transmission system including binary information source input, 16-QAM modulation with constellation mapping using qammod function, transmitter filter design with raised-cosine pulse shaping, receiver filter implementation, sampling techniques, equalization algorithms, signal detection with maximum likelihood decision, 16-QAM demodulation using qamdemod function, information recovery output, and BER curve generation with error rate calculation functions. The implementation includes my course paper as reference material.
MATLAB Simulation of OFDM Communication System with Complete Source Code
A comprehensive MATLAB simulation of OFDM system featuring clear and complete source code. This relatively complete OFDM communication system simulation design includes modules for encoding, modulation, IFFT, up/down conversion, Gaussian channel modeling, FFT, PAPR suppression, various synchronization techniques, demodulation, and decoding. System performance simulation comprehensively validates the reliability of the system design through BER analysis and spectral efficiency evaluation.