Recursive Signal Processing
Recursive Signal Processing is a signal processing methodology in which the current output is determined by both the current and past inputs as well as past outputs, thereby employing feedback to recursively compute subsequent values within the processing sequence.
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2.4K
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137
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76
Institutions
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2017–2026
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IT Young, Lucas J. van Vliet, M. Van Ginkel · IEEE Transactions on Signal Processing · 2002 · 97 citations · Full text
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The University of Texas at Austin
Austin, United States
2 h-index
4 publications
84 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
4 publications
67 citations
IBM (United States)
Armonk, United States
2 h-index
2 publications
79 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
3 publications
100 citations

Wrocław University of Science and Technology
Wroclaw, Poland
2 h-index
2 publications
47 citations
Budapest Institute
Budapest, Hungary
2 h-index
3 publications
140 citations

McMaster University
Hamilton, Canada
2 h-index
3 publications
150 citations
University of Delaware
Newark, United States
2 h-index
2 publications
62 citations
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12 publications · 361 citations
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4 publications · 95 citations
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2 publications · 111 citations
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2 publications · 62 citations
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2 publications · 133 citations
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