Complementary mean square deviation and stability analyses of the widely linear recursive least squares algorithm

Long Shi^*, Lu Shen, Badong Chen

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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@article{dfeb3ea2dab1469280f8089d35a9e6c4,

title = "Complementary mean square deviation and stability analyses of the widely linear recursive least squares algorithm",

author = "Long Shi and Lu Shen and Badong Chen",

year = "2022",

month = apr,

day = "15",

doi = "10.1016/j.dsp.2021.103357",

language = "English",

volume = "122",

journal = "Digital Signal Processing",

issn = "1051-2004",

publisher = "Elsevier",

}

TY - JOUR

T1 - Complementary mean square deviation and stability analyses of the widely linear recursive least squares algorithm

AU - Shi, Long

AU - Shen, Lu

AU - Chen, Badong

PY - 2022/4/15

Y1 - 2022/4/15

U2 - 10.1016/j.dsp.2021.103357

DO - 10.1016/j.dsp.2021.103357

M3 - Article

SN - 1051-2004

VL - 122

JO - Digital Signal Processing

JF - Digital Signal Processing

M1 - 103357

ER -