Title: | Applications of fast QR-decomposition based adaptive algorithms in wireless systems |
Author(s): | Mohammad, Mohammed Mobien |
Date: | 2017 |
Language: | en |
Pages: | 151 + app. 85 |
Department: | Signaalinkäsittelyn ja akustiikan laitos Department of Signal Processing and Acoustics |
ISBN: | 978-952-60-7457-3 (electronic) 978-952-60-7458-0 (printed) |
Series: | Aalto University publication series DOCTORAL DISSERTATIONS, 102/2017 |
ISSN: | 1799-4942 (electronic) 1799-4934 (printed) 1799-4934 (ISSN-L) |
Supervising professor(s): | Wichman, Risto, Prof., Aalto University, Department of Signal Processing and Acoustics, Finland |
Subject: | Electrical engineering, Mathematics |
Keywords: | adaptive filters, least-squares, fast algorithms, weight extraction, fixed-point analysis, system identification, digital beam forming, pre-distortion, channel equalization |
Archive | yes |
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Abstract:This thesis presents four contributions: first, it develops new techniques to extend the range of applications of computationally efficient (comparing to recursive least-squares (RLS) algorithm) fast QR-decomposition least-squares (FQRD-LS) algorithms; second, it develops new version of FQRD-LS algorithm for widely-linear (WL) input signal; third, It presents fixed-point analysis of FQRD-LS algorithm; and finally, it applies contant modulus algorithm (CMA) framework to the inverse QR-decomposition recursive least-squares (QRD-RLS) algorithm.
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Parts:[Publication 1]: M. Shoaib, S. Werner, and J. A. Apolinario Jr. Reduced complexity solution for weight extraction in QRD-LSL algorithm. IEEE Signal Processing Letters, Vol. 15, pages 277–280, Feb 2008. DOI: 10.1109/LSP.2008.917023 View at Publisher [Publication 2]: M. Shoaib, S. Werner, and J. A. Apolinario Jr. Multichannel Fast QR-Decomposition Algorithms: Weight Extraction Method and its Applications. IEEE Transactions on Signal Processing, Vol. 58, Issue 1, pages 175–188, Jan 2010. DOI: 10.1109/TSP.2009.2030594 View at Publisher [Publication 3]: M. Shoaib, and S. Alshebeili. Fixed-Point Implementation of Fast QR-Decomposition Recursive Least-Squares Algorithms (FQRD-RLS): Stability Conditions and Quantization Errors Analysis. Circuits, Systems, and Signal Processing, Vol. 32, Issue 4, pages 1551-1574, Jan 2013. DOI: 10.1007/s00034-012-9526-7 View at Publisher [Publication 4]: A.M. Ragheb, M. Shoaib, S. Alshebeili, H. Fathallah. Enhanced Blind Equalization for Optical DP-QAM in Finite Precision Hardware. IEEE Photonics Technology Letters, Vol. 27, Issue 2, pages 181–184, Jan 2015. DOI: 10.1109/LPT.2014.2364265 View at Publisher [Publication 5]: M. Shoaib, S. Werner, J. A. Apolinario Jr., and T. I. Laakso. Solution to the weight extraction problem in Fast QR-decomposition RLS algorithms. In International Conference on Acoustics, Speech, and Signal Processing, Toulouse, France, May 2006. DOI: 10.1109/ICASSP.2006.1660718 View at Publisher [Publication 6]: M. Shoaib, S.Werner, J. A. Apolinario Jr., and T. I. Laakso. Equivalent Output-Filtering using Fast QRD-RLS Algorithm for Burst-Type Training Applications. In International Symposium on Circuits and Systems, Kos, Greece, May 2006. DOI: 10.1109/ISCAS.2006.1692540 View at Publisher [Publication 7]: M. Shoaib, S. Werner, J. A. Apolinario Jr., and T. I. Laakso. Multichannel fast QR-decomposition RLS algorithms with explicit weight extraction. In European Signal Processing Conference, Florence, Italy, May 2006.[Publication 8]: M. Shoaib, and S. Alshebeili. A fastwidely-linear QR-decomposition least-squares (FWL-QRD-RLS) algorithm. In International Conference on Acoustics, Speech, and Signal Processing, Vancouver, Canada, May 2013. DOI: 10.1109/ICASSP.2013.6638444 View at Publisher |
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