Cargando…
Reconstructing Group Wavelet Transform From Feature Maps With a Reproducing Kernel Iteration
In this article, we consider the problem of reconstructing an image that is downsampled in the space of its SE(2) wavelet transform, which is motivated by classical models of simple cell receptive fields and feature preference maps in the primary visual cortex. We prove that, whenever the problem is...
Autor principal: | Barbieri, Davide |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965351/ https://www.ncbi.nlm.nih.gov/pubmed/35370587 http://dx.doi.org/10.3389/fncom.2022.775241 |
Ejemplares similares
-
Intelligent Extraction of Salient Feature From Electroencephalogram Using Redundant Discrete Wavelet Transform
por: Wang, Xian-Yu, et al.
Publicado: (2022) -
CT Reconstruction Kernels and the Effect of Pre- and Post-Processing on the Reproducibility of Handcrafted Radiomic Features
por: Refaee, Turkey, et al.
Publicado: (2022) -
Higher Sensitivity and Reproducibility of Wavelet-Based Amplitude of Resting-State fMRI
por: Luo, Fei-Fei, et al.
Publicado: (2020) -
Multichannel Signals Reconstruction Based on Tunable Q-Factor Wavelet Transform-Morphological Component Analysis and Sparse Bayesian Iteration for Rotating Machines
por: Li, Qing, et al.
Publicado: (2018) -
Improved ECG-Derived Respiration Using Empirical Wavelet Transform and Kernel Principal Component Analysis
por: Zhuang, Shuxin, et al.
Publicado: (2021)