Work

Towards Data-Driven Guarantees for Sparse Signal Recovery

Year: 2024

Type: conference-paper

Source: 2018 52nd Asilomar Conference on Signals, Systems, and Computers

DOI: 10.1109/ieeeconf60004.2024.10942634

Authors: Farhang Yeganegi, Arian Eamaz, Mojtaba Soltanalian

Institution: University of Illinois Chicago

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4409156859

FWCI:

Cites: 13

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Related to: 10