3 papers
cs.LG2025
Low-rank MMSE filters, Kronecker-product representation, and regularization: a new perspective
Daniel Gomes de Pinho Zanco, Leszek Szczecinski, Jacob Benesty +1
In this work, we propose a method to efficiently find the regularization parameter for low-rank MMSE filters based on a Kronecker-product representation. We show that the regulariz…
cs.IR2025
A Unified Bayesian Perspective for Conventional and Robust Adaptive Filters
Leszek Szczecinski, Jacob Benesty, Eduardo Vinicius Kuhn
In this work, we present a new perspective on the origin and interpretation of adaptive filters. By applying Bayesian principles of recursive inference from the state-space model a…
cs.IT2023
Automatic Regularization for Linear MMSE Filters
Daniel Gomes de Pinho Zanco, Leszek Szczecinski, Jacob Benesty
In this work, we consider the problem of regularization in the design of minimum mean square error (MMSE) linear filters. Using the relationship with statistical machine learning m…