Variance analysis of unbiased least -norm estimator in non-Gaussian noise
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- 作者：Yuan Chena ; qchenyuan00@126.com" class="auth_mail" title="E-mail the corresponding author ; Hing Cheung Sob ; 1 ; hcso@ee.cityu.edu.hk" class="auth_mail" title="E-mail the corresponding author ; Ercan Engin Kuruogluc ; 1 ; ercan.kuruoglu@isti.cnr.it" class="auth_mail" title="E-mail the corresponding author
- 关键词：Variance analysis ; Parameter estimation ; Non-Gaussian noise ; Fractional lower-order moment ; ℓpℓp-norm minimization
- 刊名：Signal Processing
- 出版年：2016
- 出版时间：May 2016
- 年：2016
- 卷：122
- 期：Complete
- 页码：190-203
- 全文大小：1027 K
文摘
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Theoretical performance of unbiased linear and nonlinear estimators is studied.
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10">Variance expressions based on1-s2.0-S0165168415004193&_mathId=si0005.gif&_user=111111111&_pii=S0165168415004193&_rdoc=1&_issn=01651684&md5=efc184042e3c0cf207fe1b3bb9bd5bf2" title="Click to view the MathML source">ℓp-norm minimization in non-Gaussian noise are derived.
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15">To find the minimum variance under different noise types, the optimum p is computed.