Feature Extraction for Evaluating the Complexity of Electromagnetic Environment Based on Adaptive Multiscale Morphological Gradient and Nonnegative Matrix Factorization | Zendy

Hua-chen Xi | Zendy; Bing Li | Zendy; Wen-hui Mai | Zendy; Xiong Xu | Zendy; Ya Wang | Zendy

Open Access

Feature Extraction for Evaluating the Complexity of Electromagnetic Environment Based on Adaptive Multiscale Morphological Gradient and Nonnegative Matrix Factorization

Author(s) -

Hua-chen Xi,

Bing Li,

Wen-hui Mai,

Xiong Xu,

Ya Wang

Publication year - 2022

Publication title -

journal of electrical and computer engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.318

H-Index - 25

eISSN - 2090-0155

pISSN - 2090-0147

DOI - 10.1155/2022/4891411

Subject(s) - electromagnetic environment , signal (programming language) , feature extraction , computer science , feature vector , electromagnetic interference , non negative matrix factorization , battlefield , feature (linguistics) , artificial intelligence , interference (communication) , pattern recognition (psychology) , matrix decomposition , physics , telecommunications , ancient history , linguistics , eigenvalues and eigenvectors , philosophy , channel (broadcasting) , quantum mechanics , history , programming language

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom

About

About Careers Publisher Partners Contact Us Our institutional solutions Get Organisational Trial or Quote

Learn

FAQs Blog Terms of Use Privacy Policy

Download the Zendy App

Discover

Explore

Home ZAIA Blog