Information Perception Adaptive Filtering Algorithm Sensitive to Signal Statistics: Theory and Design Article Swipe
Shiwei Yun
,
Sihai Guan
,
Yong Zhao
,
Qiang Xiang
,
Chuanwu Zhang
,
Bharat B. Biswal
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/math13203294
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/math13203294
To address the challenges of information perception, this paper proposes a novel adaptive filtering algorithm. The algorithm is built upon an asymmetric cost function. It incorporates an information perception strategy, referred to as the information perception adaptive filtering (IPAF) algorithm, in which the parameters of the cost function are directly linked to statistical characteristics. The key advantage of this algorithm is that its parameters can be adaptively adjusted in real-time according to higher-order statistical properties in different environments, thereby overcoming the limitations of traditional fixed-parameter algorithms. A comprehensive performance analysis of the IPAF algorithm is presented, including convergence analysis, mean square deviation analysis, and computational complexity analysis. Extensive simulation experiments and evaluations of real datasets demonstrate that the IPAF algorithm achieves reliable information perception with excellent robustness.
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- Type
- article
- Language
- en
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- https://doi.org/10.3390/math13203294
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- OA Status
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- References
- 26
- OpenAlex ID
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- Title
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Information Perception Adaptive Filtering Algorithm Sensitive to Signal Statistics: Theory and DesignWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-10-15Full publication date if available
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Shiwei Yun, Sihai Guan, Yong Zhao, Qiang Xiang, Chuanwu Zhang, Bharat B. BiswalList of authors in order
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https://doi.org/10.3390/math13203294Publisher landing page
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https://www.mdpi.com/2227-7390/13/20/3294/pdf?version=1760536015Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2227-7390/13/20/3294/pdf?version=1760536015Direct OA link when available
- Cited by
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0Total citation count in OpenAlex
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26Number of works referenced by this work
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| abstract_inverted_index.analysis, | 98, 102 |
| abstract_inverted_index.analysis. | 106 |
| abstract_inverted_index.deviation | 101 |
| abstract_inverted_index.different | 76 |
| abstract_inverted_index.excellent | 125 |
| abstract_inverted_index.filtering | 13, 37 |
| abstract_inverted_index.function. | 23 |
| abstract_inverted_index.including | 96 |
| abstract_inverted_index.real-time | 69 |
| abstract_inverted_index.strategy, | 29 |
| abstract_inverted_index.adaptively | 66 |
| abstract_inverted_index.algorithm, | 39 |
| abstract_inverted_index.algorithm. | 14 |
| abstract_inverted_index.asymmetric | 21 |
| abstract_inverted_index.challenges | 3 |
| abstract_inverted_index.complexity | 105 |
| abstract_inverted_index.overcoming | 79 |
| abstract_inverted_index.parameters | 43, 63 |
| abstract_inverted_index.perception | 28, 35, 123 |
| abstract_inverted_index.presented, | 95 |
| abstract_inverted_index.properties | 74 |
| abstract_inverted_index.simulation | 108 |
| abstract_inverted_index.algorithms. | 85 |
| abstract_inverted_index.convergence | 97 |
| abstract_inverted_index.demonstrate | 115 |
| abstract_inverted_index.evaluations | 111 |
| abstract_inverted_index.experiments | 109 |
| abstract_inverted_index.information | 5, 27, 34, 122 |
| abstract_inverted_index.limitations | 81 |
| abstract_inverted_index.perception, | 6 |
| abstract_inverted_index.performance | 88 |
| abstract_inverted_index.robustness. | 126 |
| abstract_inverted_index.statistical | 52, 73 |
| abstract_inverted_index.traditional | 83 |
| abstract_inverted_index.higher-order | 72 |
| abstract_inverted_index.incorporates | 25 |
| abstract_inverted_index.comprehensive | 87 |
| abstract_inverted_index.computational | 104 |
| abstract_inverted_index.environments, | 77 |
| abstract_inverted_index.fixed-parameter | 84 |
| abstract_inverted_index.characteristics. | 53 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5021544596 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I2799449666, https://openalex.org/I6645349 |
| citation_normalized_percentile.value | 0.59220596 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |