Low mutual and average coherence dictionary learning using convex approximation
In dictionary learning, a desirable property for the dictionary is to be of low mutual and
average coherences. Mutual coherence is defined as the maximum absolute correlation …
average coherences. Mutual coherence is defined as the maximum absolute correlation …
Fast multidimensional dictionary learning algorithms and their application in 3D inverse synthetic aperture radar image restoration and noise reduction
A Mehrpooya, M Nazari, Z Abbasi… - IET Radar, Sonar & …, 2022 - Wiley Online Library
By generalising dictionary learning (DL) algorithms to multidimensional (MD) mode and
using them in applications where signals are inherently multidimensional, such as in three …
using them in applications where signals are inherently multidimensional, such as in three …
New Dictionary Learning Methods for Two-Dimensional Signals
F Shahriari-Mehr, J Parsa… - 2020 28th European …, 2021 - ieeexplore.ieee.org
By growing the size of signals in one-dimensional dictionary learning for sparse
representation, memory consumption and complex computations restrict the learning …
representation, memory consumption and complex computations restrict the learning …
[HTML][HTML] Estimation and optimal input design in sparse models
J Parsa - 2023 - diva-portal.org
Sparse parameter estimation is an important aspect of system identification, as it allows for
reducing the order of a model, and also some models in system identification inherently …
reducing the order of a model, and also some models in system identification inherently …