Effects of different algorithms on feature extraction of jamming signals.

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Bibliographic Details
Title: Effects of different algorithms on feature extraction of jamming signals.
Authors: Hui Zhao, Guobin Zhao, Xichun Wang, Zhonghui Zhang, Xianchao Xun
Publication Year: 2025
Subject Terms: Space Science, Biological Sciences not elsewhere classified, wireless communication technology, target communication systems, static spectrum allocation, reduce error rates, processing large amounts, key factor affecting, jamming communication technology, electromagnetic spectrum environment, also precisely defines, interference communication technology, identifying interference signals, generates interference signals, fixed interference patterns, providing new means, proposed model achieves, processing signal features, model effectively addresses, deep neural networks, end strategy optimization, interference accuracy rate, new model, end optimization, accuracy rate, interference algorithm, signal transmission, model based, deep q, %22">xlink ">
Description: Effects of different algorithms on feature extraction of jamming signals.
Document Type: still image
Language: unknown
Relation: https://figshare.com/articles/figure/Effects_of_different_algorithms_on_feature_extraction_of_jamming_signals_/28857671
DOI: 10.1371/journal.pone.0319953.g011
Availability: https://doi.org/10.1371/journal.pone.0319953.g011
https://figshare.com/articles/figure/Effects_of_different_algorithms_on_feature_extraction_of_jamming_signals_/28857671
Rights: CC BY 4.0
Accession Number: edsbas.759CF26F
Database: BASE
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