Pipelined architectures for the Frequency Domain linear equalizer
George Glentis; Kristina Georgoulakis
International Journal of Applied Mathematics and Computer Science (2006)
- Volume: 16, Issue: 4, page 525-535
- ISSN: 1641-876X
Access Full Article
topAbstract
topHow to cite
topReferences
top- Arslan H. and Bottomley G.E. (2001): Channel estimation in narrowband wireless communication systems. - Wireless Comm. Mobile Comput., Vol. 1, No. 2, pp. 201-219.
- Azadet K. and Nicole C. (1998): Low-power equalizer architectures forhigh-speed modems. - IEEE Comm. Mag., Vol. 36, No. 10, pp. 118-126.
- Benedetto S. and Biglieri E. (1999): Principles of Digital Transmission:Width: Wireless Applications. - New York: Kluwer. Zbl0954.94004
- Benvenuto N. and Tomasin S. (2001): Frequency domain DFE: System design and comparison with OFDM. -Proc. IEEE 8-th Symp. Commun. and Vehic. Tech., SCVT, Benelux, Delft, The Netherlands.
- Berberidis K., Rantos S. and Palicot J. (2004): A step-by-step quasi-Newton algorithm in the frequency domain and its application to adaptive channel equalization. - IEEE Trans. Signal Process., Vol. 52, No. 12, pp. 3335-3344.
- Bilcu R., Kuosmanen P. and Egiazarian K. (2002): Channel equalization using a new transform domain LMS algorithm with adaptive step-size. - WSEAS Trans.Circ., Vol. 1, No. 1, pp. 113-118.
- Bilcu R., Kuosmanen P. and Egiazarian K. (2003): Tracking time-varying channels with adaptive step-size transform domain LMS algorithm, In: Recent Advances in Intelligent Systems and Signal Processing (Mastorakis N. et al., Eds.). - Athens: WSEAS Press, pp. 104-109.
- Chen S. and Zhang T. (2005): Self-timed dynamically pipelined adaptive signal processing system: A case study of DLMS equalizer for real channel. - IEEE Trans. Circuits Syst. I, Vol. 52, No. 7, pp. 1338-1347.
- Denyer P. and Renshaw D. (1985): VLSI Signal Processing. A bit serialapproach. - Boston, MA: Addison-Wesley.
- Douglas S.C., Zhu Q. and Smith K. (1998): A pipelined LMS adaptive FIR filter architecture without adaptation delay. - IEEE Trans. Signal Process.,Vol. 46, No. 3, pp. 775-779.
- Farhang-Boroujeny B., Lee Y. and Ko C.C. (1996): Sliding transforms forefficient implementation of transform domain adaptive filters. - SignalProcess., Vol. 52, pp. 83-96. Zbl0872.94008
- Glentis G. (2001): Pipelined architectures for the TD LMS adaptive filter. - Proc. IEEE Int. Conf. s Acoust. Speech, Signal Proc., ICASSP, Salt Lake City, USA, pp. 1081-1084.
- Glentis G. (2005): Pipelined architectures for transform domain LMS adaptive filtering. - J. Circ. Syst. Comput., Vol. 14, No. 3, pp. 553-580.
- Glentis G., Berberidis K. and Theodoridis S. (1999): Efficient least squares adaptive algorithms for FIR transversal filtering: A unified view. - IEEE Signal Process. Mag., Vol. 16, No. 4, pp. 13-42.
- Hadara A., Nishikawa K. and Kiya H. (1998): Pipelined architecture of the LMS adaptive digital filter with the mimimum output latency. - IEICE Trans. Fundam., Vol. E81-A, No. 8, pp. 1578-1584.
- Haykin S. (1996): Adaptive Filter Theory, 3rd Edition. - New Jersey: Prentice Hall. Zbl0723.93070
- Huang Y. and Benesty J. (2003): A class of frequency-domain adaptive approaches to blind multichannel identification. - IEEE Trans. Signal Process., Vol. 51, No. 1, pp. 11-24.
- Kalouptsidis N. and Theodoridis S. (1993): Adaptive System Identification andSignal Processing Algorithms. - Englewood Cliffs: Prentice Hall. Zbl0787.93096
- Kim C.H., Soeleman H. and Oy K. (2003): Ultra-low-power DLMS adaptive filter for hearing aid applications. - IEEE Trans. VLSI Syst., Vol. 11, No. 6, pp. 1058-1067.
- Long G., Ling F. and Proakis J. (1989): The LMS algorithm with delayedcoefficients adaptation. - IEEE Trans. Acoust. Speech Signal Process., pp. 1397-1405. Zbl0693.93088
- Maginot S., Balestro F., Joanblanq C., Senn P. and Palicot J. (1991): A general-purpose high speed equalizer.- IEEE J. Solid State Circ., Vol. 26, pp. 209-215.
- Matsubara K., Nishikawa K. and Kiya H. (1999): Pipelined LMS adaptive filter using a new look-ahead transformation. - IEEE Trans. Circuits Syst. II,Vol. 46, No. 1, pp. 61-55.
- Moreli M., Sanguinetti L. and Mengali U. (2005): Channel estimation for adaptive frequency domain equalization. - IEEE Trans. Wireless Comm., Vol. 4, No. 5,pp. 2508-2518.
- Narayan S., Peterson A.M. and Narasimba M.J. (1983): Transform domain LMS algorithm. - IEEE Trans. Acoust. Speech, Signal Processing, Vol. 31, pp. 609-615.
- Quereshi S.U.H. (1985): Adaptive equalization. - Proc. IEEE,Vol. 73, No. 9, pp. 1349-1387.
- Parhi K. (1999): VLSI Digital Signal Processing Systems: Design andImplementation. - New York: Wiley.
- Picchi G. and Prati G. (1984): Self-orthogonalizing adaptive equalization in the discrete frequency domain. - IEEE Trans. Commun., Vol. 32, No. 4, pp. 371-379.
- Pirsch P. (1998): Architectures for Digital Signal Processing. - Chichester: Wiley.
- Proakis J. (1995): Digital Communications. 3-rd Ed. -New York: McGraw-Hill.
- Ramanathan S. and Visvanathan V. (1999): Low-power pipelined LMS adaptive filter architectures with minimal adaptation delay. - Integration VLSI, Vol. 27, No. 1, pp. 1-32. Zbl0909.68022
- Rofougaran A., Chang G., Rael J.J., Chang J. Y.-C., Rofougaran M., Chang P.J., Djafari M., Min J.,Roth E.W., Abidi A.A. and Samueli H. (1998): A single chip 900 MHz spread spectrum wireless transceiver in iμm CMOS. Parts I and II. - IEEE J. Solid-State Circuits, Vol. 33, No. 4, pp. 515-547.
- Santha K.R. and Vaidehi V. (2004): Design of synchronous and asynchronous architectures for DFT based adaptive equalizer. -Proc. IEEE Conf. SoutheastCon, Greensboro, NC, pp. 383-389.
- Shamma M. (2002): Improving the speed and performance of adaptive equalizers via transform based adaptive filtering. - 14-th Int. Conf. Digital Signal Processing, DSP, Santorini-Hellas, Greece, Vol. 2, pp. 1301-1305.
- Shanbhag N. and Im G.H. (1998): VLSI systems design of 51.84 Mb/s transceivers for ATM-LAN and broadband access. - IEEE Trans. Signal Process., Vol. 46, Issue 5, pp. 1403-1416.
- Shynk J. (1992): Frequency-domain and multirate adaptive filtering. -IEEE Signal Process. Mag., Vol. 9, Issue 1, pp. 14-37.
- Son S., Kim J., Lee Y., Kim H. and Park S. (2006): Frequency-domain equalization for distributed terrestrial DTV transmission environments. - IEEE Trans. Consum. Electron., Vol. 52, No. 1, pp. 59-67.
- Thomas J. (1996): Pipelined systolic architectures for DLMS adaptive filtering.- J. VLSI Signal Process., Vol. 12, No. 3, pp. 223-246.
- Ting L., Woods R. and Cowan C. (2005): Virtex FPGA implementation of a pipelined adaptive LMS predictor for electronic support measures receivers. - IEEE Trans. VLSI Syst., Vo. 13, No. 1, pp. 86-95.
- Van L. and Feng W. (2001): An efficient systolic architecture for the DLMS adaptive filter and its applications. - IEEE Trans. Circ. Syst. II,Vol. 48, No. 4, pp. 359-366.
- Yang Y., Park C. and Song J. (2004): Fast constant modulus in the DFT domain.- Proc. IEEE Conf. Radio and Wireless, RAWCON2004, Atlanta, GA, pp. 19-22.
- Yi Y. and Woods R. (2006): Hierarchical synthesis of complex DSP functions using IRIS. - IEEE Trans. Computer. Aided Des. Integr. Circ. Syst.,Vol. 25, No. 5, pp. 806-820.