Channel Estimation Using Linear Regression with Bernoulli–Gaussian Noise

This study introduces a novel mathematical framework for a machine learning algorithm tailored to address linear regression problems in the presence of non-Gaussian estimation noise. In particular, we focus on Bernoulli–Gaussian noise, which frequently occurs in practical scenarios such as wireless...

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Hlavní autoři:	Prerna Chaudhary, B. R. Manoj, Isha Chauhan, Manav Bhatnagar
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-09-01
Edice:	Applied Sciences
Témata:	Bernoulli–Gaussian noise channel estimation gradient descent linear regression
On-line přístup:	https://www.mdpi.com/2076-3417/15/19/10590
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