Novel Adaptive Filtering Algorithms Based on Higher-Order Statistics and Geometric Algebra

Novel Adaptive Filtering Algorithms Based on Higher-Order Statistics and Geometric Algebra

Adaptive filtering algorithms based on higher-order statistics are proposed for multi-dimensional signal processing in geometric algebra (GA) space. In this paper, the proposed adaptive filtering algorithms utilize the advantage of GA theory in multi-dimensional signal processing to represent a mult...

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Bibliographic Details
Main Authors: Yinmei He, Rui Wang, Xiangyang Wang, Jian Zhou, Yi Yan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Adaptive filters
geometric algebra
least-mean fourth
least-mean mixed-norm
Online Access:https://ieeexplore.ieee.org/document/9069884/

Internet

https://ieeexplore.ieee.org/document/9069884/

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