Robust M-estimate adaptive filtering

Article Properties
Cite
Zou, Y., et al. “Robust M-Estimate Adaptive Filtering”. IEE Proceedings - Vision, Image, and Signal Processing, vol. 148, no. 4, 2001, p. 289, https://doi.org/10.1049/ip-vis:20010316.
Zou, Y., Chan, S., & Ng, T. (2001). Robust M-estimate adaptive filtering. IEE Proceedings - Vision, Image, and Signal Processing, 148(4), 289. https://doi.org/10.1049/ip-vis:20010316
Zou Y, Chan S, Ng T. Robust M-estimate adaptive filtering. IEE Proceedings - Vision, Image, and Signal Processing. 2001;148(4):289.
Refrences
Title Journal Journal Categories Citations Publication Date
Robust Huber adaptive filter IEEE Transactions on Signal Processing
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Adaptive threshold nonlinear algorithm for adaptive filters with robustness against impulse noise IEEE Transactions on Signal Processing
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A robust mixed-norm adaptive filter algorithm IEEE Signal Processing Letters
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Measurements and models of radio frequency impulsive noise for indoor wireless communications IEEE Journal on Selected Areas in Communications
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235 1993
A class of order statistic LMS algorithms IEEE Transactions on Signal Processing
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Citations
Title Journal Journal Categories Citations Publication Date
Robust Widely Linear Affine Projection M-Estimate Adaptive Algorithm: Performance Analysis and Application IEEE Transactions on Signal Processing
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
1 2023
Approximate Kalman filtering by both M-robustified dynamic stochastic approximation and statistical linearization methods

EURASIP Journal on Advances in Signal Processing
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
2023
An Outlier-Robust Growing Local Model Network for Recursive System Identification Neural Processing Letters
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2022
A Robust PAST-Based ESPRIT Algorithm With Variable Forgetting Factor and Regularization for Frequencies/Harmonics Estimation in Impulsive Noise IEEE Transactions on Instrumentation and Measurement
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines
  • Technology: Engineering (General). Civil engineering (General)
2022
Robust Time-Varying Parameter Proportionate Affine-Projection-Like Algorithm for Sparse System Identification Circuits, Systems, and Signal Processing
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2 2021
Citations Analysis
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics 13 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Sign–sign algorithm for unbiased IIR filtering in impulsive noise and was published in 2004. The most recent citation comes from a 2023 study titled Robust Widely Linear Affine Projection M-Estimate Adaptive Algorithm: Performance Analysis and Application. This article reached its peak citation in 2014, with 4 citations. It has been cited in 12 different journals, 25% of which are open access. Among related journals, the IEEE Transactions on Signal Processing cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year