Relation between penalized least squares regression and Bayesian estimation in AWGN based on novel penalty function of Pareto density
The penalized least squares regression (PLSR) is usually used for solving linear inverse problems in signal processing, such as the denoising (noise reduction) and deconvolution problems. Efficiency of this method is based on the penalty function (regularization). Therefore, we propose the novel reg...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | ICT Express |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959522000121 |