On sparse approximations of solutions to linear systems with orthogonal matrices
This article discusses a model for obtaining a sparse representation of a signal vector in ℝk, based on a system of linear equations with an orthogonal matrix. Such a representation minimizes a target function that combines the deviation from the exact solution and a chosen functional J. The functio...
Saved in:
| Main Authors: | Andrei V. Kiptenko, Ilia M. Izbiakov |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Samara National Research University
2023-01-01
|
| Series: | Вестник Самарского университета: Естественнонаучная серия |
| Subjects: | |
| Online Access: | https://journals.ssau.ru/est/article/viewFile/22878/9667 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ASCDet: cross-space UAV object detection method guided by adaptive sparse convolution
by: Gui Cheng, et al.
Published: (2025-08-01) -
Classification-Friendly Sparse Encoder and Classifier Learning
by: Chunyu Yang, et al.
Published: (2020-01-01) -
A New Method for Joint Sparse DOA Estimation
by: Jinyong Hou, et al.
Published: (2024-11-01) -
An Efficient Fine-Grained Recognition Method Enhanced by Res2Net Based on Dynamic Sparse Attention
by: Qifeng Niu, et al.
Published: (2025-07-01) -
The Dittert's function on a set of nonnegative matrices
by: Suk Geun Hwang, et al.
Published: (1990-01-01)