AWGN

An AWGN Simulator i.e. Additive White Gaussian Noise Simulator developed using Python is a software-based tool designed to demonstrate and analyze the effect of Gaussian noise on digital communication signals. The simulator generates a clean input signal, adds controlled amounts of AWGN, and displays both the original and noisy signals for comparison. Users can vary parameters such as noise power, signal-to-noise ratio (SNR), and signal characteristics to observe how communication quality changes under different noise conditions. Python libraries such as NumPy, SciPy, and Matplotlib can be used for signal generation, noise modeling, numerical processing, and graphical visualization but this is purely from tkinter only. The simulator is useful for understanding fundamental concepts of wireless and digital communication systems.