Complex-valued Normalized Maximum Versoria Criterion Algorithm for Widely Linear Adaptive Filter
Abstract
References
Index Terms
- Complex-valued Normalized Maximum Versoria Criterion Algorithm for Widely Linear Adaptive Filter
Recommendations
Bias-Compensated MCSE Algorithm for Widely Linear Complex-Valued Adaptive Filtering with Noisy Inputs
ICDSP '22: Proceedings of the 6th International Conference on Digital Signal ProcessingIn this paper, based on minimum complex Shannon entropy (MCSE), a novel widely linear complex-valued estimated-input MCSE (WLC-EIMCSE) algorithm is proposed, which can not only make unbiased estimation in the environment where the input signal has noise,...
Complex Total Least Mean M-Estimate Adaptive Algorithm for Noisy Input and Impulsive Noise
AbstractThe complex domain adaptive filtering algorithms has shown excellent performance in the field of signal processing. Among them, the well-known complex least mean square (CLMS) algorithm has been widely used in practical projects. However, the CLMS ...
Steady-state mean-square deviation analysis of improved normalized subband adaptive filter
A new minimization criterion for the normalized subband adaptive filter (NSAF), which is called improved NSAF (INSAF), was introduced recently to improve the performance of the steady-state mean-square deviation (MSD). However, the steady-state MSD ...
Comments
Information & Contributors
Information
Published In

Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Funding Sources
- the National Rail Transportation Electrification and Automation Engineering Technology Research Center
- National Natural Science Foundation of China
- Department of Science and Technology of Sichuan Province
Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 62Total Downloads
- Downloads (Last 12 months)11
- Downloads (Last 6 weeks)2
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format