MATLAB Implementation of QAM and QPSK Modulation with Signal Analysis

The MATLAB implementation of QAM and QPSK modulation provides a highly practical tool for digital communication analysis. The program generates constellation diagrams that visually represent symbol mapping patterns, displays modulated and demodulated signal waveforms showing amplitude and phase variations, and produces spectral waveforms using FFT-based frequency domain analysis. Key functions include qammod() and qamdemod() for modulation/demodulation operations, pskmod() for PSK implementations, and scatterplot() for constellation visualization. The code architecture allows for additional signal processing extensions such as Bit Error Rate (BER) performance evaluation through monte carlo simulations and channel estimation algorithms using techniques like Least Squares estimation. This makes the program a versatile platform for both educational demonstrations and advanced communication system research. The modular design enables easy parameter customization for different modulation orders and signal-to-noise ratio conditions. These analytical capabilities transform the program into a powerful, multifunctional tool for comprehensive digital communication studies. We hope this information proves valuable for your signal processing projects.