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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Prerna Chaudhary, B. R. Manoj, Isha Chauhan, Manav Bhatnagar
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2025-09-01
Schriftenreihe:Applied Sciences
Schlagworte:
Bernoulli–Gaussian noise
channel estimation
gradient descent
linear regression
Online-Zugang:https://www.mdpi.com/2076-3417/15/19/10590
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