Signal local Reconstruction Algorithm based on Compressed Sensing and Unsupervised Learning

Autor:	Lingli Tan
Rok vydání:	2017
Předmět:	Compressed sensing Computer science Signal reconstruction business.industry Unsupervised learning Reconstruction algorithm Pattern recognition Artificial intelligence business Signal
Zdroj:	Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017).
DOI:	10.2991/msmee-17.2017.300
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d7df51a9c90280bbf96dcf5a5416d8d7 https://doi.org/10.2991/msmee-17.2017.300 Zobrazit plný text záznamu