Generate 2ASK, 4ASK, and 8ASK Data Files
Create MATLAB m-files for generating 2ASK, 4ASK, and 8ASK modulation schemes along with corresponding mat-format data files containing signal parameters and modulated waveforms.
Explore MATLAB source code curated for "2ASK" with clean implementations, documentation, and examples.
Create MATLAB m-files for generating 2ASK, 4ASK, and 8ASK modulation schemes along with corresponding mat-format data files containing signal parameters and modulated waveforms.
Abstract Directory: MATLAB Implementation of 2ASK, 4ASK, 2FSK, 4FSK, QAM16, and QAM8 Modulation Techniques with Code Examples
Simulation of 2ASK, 2FSK, and 2PSK signals using Simulink as the foundational platform, with implementation details covering signal generation, modulation schemes, and demodulation techniques through built-in communication blocks.
Basic modulation recognition system capable of identifying 2ASK, 2FSK, 2PSK, 4ASK, 4FSK, and 4PSK modulation schemes with signal processing algorithms and statistical feature extraction.
Utilizing Simulink as the foundational platform, this study conducts detailed simulations of 2ASK, 2FSK, and 2PSK signal modulation and demodulation techniques, incorporating code-based implementation insights
Custom 2ASK simulation program developed without MATLAB's built-in functions, incorporating white noise addition and filtering. The filtered waveform shows some distortion, potentially due to filter characteristics. This serves as a reference implementation demonstrating manual signal processing techniques.
Statistical analysis of bit error rates (BER) for various modulation schemes including 2ASK, 2FSK, 2PSK, and 2DPSK under both coherent and non-coherent demodulation methods, with additive white Gaussian noise (AWGN) assumption. BER performance will be compared against theoretical values and visualized through BER vs. SNR curves using Monte Carlo simulations and signal processing algorithms.
MATLAB source code for modulation recognition based on higher-order cumulants, capable of identifying common signals including 2ASK, 2PSK, 2FSK, 4ASK, 4PSK, and 4FSK with high accuracy. The implementation calculates signal statistics using fourth-order cumulant features for robust classification.
Implementation of BP neural networks for learning and training six modulation schemes including 2ASK, 2FSK, 4FSK, 2PSK, 4PSK, and GMSK signals, with code structure and training methodology explanations.
Simulation source code for three fundamental modulation schemes (2ASK, 2FSK, 2PSK) with coherent demodulation. Features detailed implementation process including signal generation, modulation algorithms, and demodulation techniques. Recommended for download and study.