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Comparison of Two Approaches to Modeling Additive White Gaussian Noise as It Acts on Arbitrary Signals

DOI: 10.4236/ijcns.2025.184004, PP. 39-50

Keywords: Additive White Gaussian Noise (AWGN), Normal Distribution, Sampling, Signal-to-Noise Ratio, Fourier Transformation

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Abstract:

The purpose of this paper is to substantiate the correct method for modeling additive white Gaussian noise under conditions of using analog filtering when processing a signal-noise mixture. To achieve the result, two methods of noise modeling used in signal processing theory for Gaussian channels are considered: the first is a traditional simplified discrete method, and the second is a more complex, but functionally correct analog-discrete method. As a result of the comparison, the undeniable advantages of the analog-discrete method are proven. A conclusion was made about the preference of using the proposed new method, which ensures the complete adequacy of the noise model.

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