Work

Relating observability and compressed sensing of time-varying signals in recurrent linear networks

Year: 2016

Type: article

Source: Neural Networks

DOI: 10.1016/j.neunet.2016.07.007

Authors: MohammadMehdi Kafashan, Anirban Nandi, ShiNung Ching

Institution: Washington University in St. Louis

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, Burroughs Wellcome Fund, Division of Civil, Mechanical and Manufacturing Innovation, Division of Electrical, Communications and Cyber Systems, Air Force Office of Scientific Research

Awards: G6080071742, G686710019, G7220183277

OpenAlex ID: W2490593225

FWCI: 0.288

Cites: 71

Cited by: 13

Related to: 10