Direct adaptive equalization based on fast sparse recursive least squares algorithms for multiple-input multiple-output underwater acoustic communications | Zendy

Zhen Qin | Zendy; Jun Tao | Zendy; Xiaoyan Wang | Zendy; Xinwei Luo | Zendy; Xiao Han | Zendy

Open Access

Direct adaptive equalization based on fast sparse recursive least squares algorithms for multiple-input multiple-output underwater acoustic communications

Author(s) -

Zhen Qin,

Jun Tao,

Xiaoyan Wang,

Xinwei Luo,

Xiao Han

Publication year - 2019

Publication title -

the journal of the acoustical society of america

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.619

H-Index - 187

eISSN - 1520-8524

pISSN - 0001-4966

DOI - 10.1121/1.5096630

Subject(s) - computer science , convergence (economics) , recursive least squares filter , equalization (audio) , algorithm , equalizer , underwater acoustic communication , adaptive equalizer , channel (broadcasting) , sparse approximation , computational complexity theory , least squares function approximation , underwater , adaptive filter , mathematics , telecommunications , decoding methods , oceanography , statistics , estimator , geology , economics , economic growth

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