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The project aims to generate a sinusoidal signal, add Additive White Gaussian Noise (AWGN) to it and denoise it using Autoencoder models. We generate a signal which would look like an analog signal with multiple possible values. We then use the noise generator and noise generator to create a signal with noise. The noise generator can be used to generate data samples for training the Deep Learning model. We would randomly generate samples by defining the signal using the functions that use the functions above.