Conjugate Gradient Iterative Hard Thresholding for Structured Sparsity

Conjugate Gradient Iterative Hard Thresholding for Structured Sparsity

Greedy sparse recovery algorithms are studied in the structured sparsity (sparsity in levels) framework. Recovery guarantees are provided for Normalized Iterative Hard Thresholding and Conjugate Gradient Iterative Hard Thresholding in the form of restricted isometry properties for sparsity in levels...

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Bibliographic Details
Main Author: Jeffrey D. Blanchard
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Open Journal of Signal Processing
Subjects:
Compressed sensing
conjugate gradient iterative hard thresholding
greedy algorithms
model-based compressed sensing
structured sparsity
sparsity in levels
Online Access:https://ieeexplore.ieee.org/document/9904816/

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