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2009 Fifth Advanced International Conference on Telecommunications
QRD-LSL Adaptive Alogrithms Suitable for Fixed-Point Implementation
Venice/Mestre, Italy
May 24-May 28
ISBN: 978-0-7695-3611-8
| ASCII Text | x | ||
| Constantin Paleologu, Andrei Alexandru Enescu, Silviu Ciochina, Felix Albu, "QRD-LSL Adaptive Alogrithms Suitable for Fixed-Point Implementation," Advanced International Conference on Telecommunications, pp. 163-167, 2009 Fifth Advanced International Conference on Telecommunications, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/AICT.2009.34, author = {Constantin Paleologu and Andrei Alexandru Enescu and Silviu Ciochina and Felix Albu}, title = {QRD-LSL Adaptive Alogrithms Suitable for Fixed-Point Implementation}, journal ={Advanced International Conference on Telecommunications}, volume = {0}, year = {2009}, isbn = {978-0-7695-3611-8}, pages = {163-167}, doi = {http://doi.ieeecomputersociety.org/10.1109/AICT.2009.34}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Advanced International Conference on Telecommunications TI - QRD-LSL Adaptive Alogrithms Suitable for Fixed-Point Implementation SN - 978-0-7695-3611-8 SP163 EP167 A1 - Constantin Paleologu, A1 - Andrei Alexandru Enescu, A1 - Silviu Ciochina, A1 - Felix Albu, PY - 2009 KW - adaptive filters KW - fixed-point implementation KW - QR-decomposition-based least-squares lattice (QRD-LSL) algorithm VL - 0 JA - Advanced International Conference on Telecommunications ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AICT.2009.34
In a previous study we proposed a modified version of the recursive least-square (RLS) adaptive algorithm suitable for fixed-point implementation. Using an asymptotically unbiased estimator for the algorithm's cost function we reduced the dynamic range of this parameter. In this paper, we extend the procedure for the case of QR-decomposition-based least-squares lattice (QRD-LSL) adaptive algorithm, a "fast" member of RLS family, with good numerical properties. The reduced dynamics of the algorithm’s parameters leads to facility for fixed-point implementation. The simulations performed on a fixed-point digital signal processor (DSP) sustain the practical aspects of the theoretical findings.
Index Terms:
adaptive filters, fixed-point implementation, QR-decomposition-based least-squares lattice (QRD-LSL) algorithm
Citation:
Constantin Paleologu, Andrei Alexandru Enescu, Silviu Ciochina, Felix Albu, "QRD-LSL Adaptive Alogrithms Suitable for Fixed-Point Implementation," aict, pp.163-167, 2009 Fifth Advanced International Conference on Telecommunications, 2009
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