Sliding-window RLS low-cost implementation of proportionate affine projection algorithms
- Submitting institution
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University of York
- Unit of assessment
- 12 - Engineering
- Output identifier
- 55026353
- Type
- D - Journal article
- DOI
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10.1109/TASLP.2014.2352456
- Title of journal
- IEEE Transactions On Audio Speech And Language Processing
- Article number
- -
- First page
- 1815
- Volume
- 22
- Issue
- 12
- ISSN
- 1558-7916
- Open access status
- Out of scope for open access requirements
- Month of publication
- August
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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1
- Research group(s)
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A - Communication Technologies
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- We show that most adaptive filtering algorithms, including sparse algorithms, are particular cases of the sliding-window RLS algorithm. In 2008, in our IEEE TSP paper, we proposed at York low-complexity practical implementation of RLS using DCD iterations, exceptionally good for FPGA and ASIC designs. Thus, almost all known adaptive algorithms can now be efficiently implemented in hardware. The work in this paper led to follow on EPSRC funding (EP/R003297/1, £377K) underpinning our recent research on interference cancellation for full-duplex systems, with further publications in IEEE Transactions.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -