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Identi ability of a quadratic equations with unknown coe cients In Proc IEEE ISCAS, pages 292 295 vol1, San Diego, CA, 1992 1168 K Torkkola Blind separation of convolved sources based on information maximization In S Usui, Y Tohkura, S Katagiri, and E Wilson, editors, Neural Networks for Signal Processing VI Proceedings of the 1996 IEEE Signal Processing Society Workshop, pages 423 432, Neural Networks for Signal Processing VI Proceedings of the 1996 IEEE Signal Processing Society Workshop, Kyoto, Japan, 4-6 Sept 1996, 1996 IEEE 1169 K Torkkola Blind separation of delayed sources based on information maximization In Proc Int Conference Acoustics Speech, Signal Processing (ICASSP), volume 4, pages 3509 3513, New York, NY, 1996 IEEE Press 1170 M Torlak and G Xu Blind multiuser channel estimation in asynchronous CDMA systems IEEE Trans Signal Processing, 45(1):137 147, January 1997 1171 JR Treichler.

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Converted to non-theme formatting Converted to non-theme colors Converted to non-theme effects Converted to non-theme fonts

Application of blind equalization techniques to voiceband and RF modems In L Dugard, M M Saad, and ID Landau, editors, Adaptive Systems in Control and Signal Processing 1992 Selected Papers from the 4th IFAC Symposium, pages 443 451, Grenoble, France, 1993 Pergamon Press 1172 JR Treichler and CR Johnson Blind fractionally-spaced equalization of digital cable TV In Proc IEEE SP Workshop on Stat Signal Array Processing, pages 122 130, Corfu, Greece, 1996 1173 JR Treichler and MG Larimore New processing techniques based on constant modulus adaptive algorithms IEEE Trans on Acoustic, Speech and Signal Processing, ASSP-33, No2:420 431, April 1985 1174 JR Treichler and MG Larimore The tone-capture properties of CMA-based interference suppressors IEEE Trans Acoustics, Speech, Signal Processing, 33(4):946 958, August 1985 1175 JR Treichler, V Wol , and CR Johnson, Jr.

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where N , is the number of signalling symbols per sub-band, the quantities Rs,n are the received symbols in the signalling subcarriers, and represents the estimated values of the frequency domain channel transfer function at the signalling subcarriers. Assuming perfect channel estimation and constant values of the channel transfer function across the group of signalling subcarriers, the signalling error probability for N , signalling symbols can be expressed as: (13.24) Figure 13.21 shows the signalling error rate in an AWGN channel for 1, 2, 4 and 8 signalling symbols per sub-band, respectively. It can be seen that doubling the number of signalling subcarriers improves the performance by 3 dB. Modem mode detection error ratios (DER) below lOW5 can be achieved at 10 dB SNR over AWGN channels if two signalling symbols are used. The signalling symbols for a given sub-band can be interleaved across the entire OFDM symbol bandwidth, in order benefit from frequency diversity in fading wideband channels. As seen in Figure 13.17, blind detection algorithms aim to estimate the employed modulation mode directlyfrom the received data symbols, therefore avoiding loss of data capacity the due to signalling subcarriers. Two algorithms have been proposed in the literature [ 168,4201, one based on SNR estimation, and another one incorporating error correction coding. Let us briefly highlight the conceptually more simpleone in the next section.

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Observed misconvergence in the constant modulus adaptive algorithm In 25-th Asilomar Conference Signals, Systems Comp, pages 663 667 vol2, Paci c Grove, CA, USA, 4-6 Nov 1991, 1991 IEEE 1176 JR Treichler, SL Wood, and MG Larimore Convergence rate limitations in certain frequency-domain adaptive lters In Proc IEEE ICASSP, pages 960 963 vol2, Glasgow, UK, 23-26 May 1989, 1989 1177 JR Treichler, SL Wood, and MG Larimore Some dynamic properties of transmux-based adaptive lters In 23-th Asilomar Conference Signals, Systems Comp, pages 682 686 vol2, Paci c Grove, CA, USA, 30 Oct-1 Nov 1989, 1989 Maple Press..

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Various solutions to these problems have been proposed. One of the most popular of these is the idea of evolving agents to perform certain tasks. This area of work has largely broken away from the mainstream A1 tradition in whch work on, for example, logic-based agents is carried out, and is documented primarily in the artificial life (alife) literature.

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The ac-dc converter in Fig. 12.74a is designed for use wi th a hand-held calculator. Ideally,

Choose File Close. Click the Close button (the X icon) on the workbook window s title bar. If the workbook window is maximized, its title bar is not visible, so its Close button appears directly below the Excel Close button. Press Ctrl+W.

[282] D. Wagner, V. Nauomov and U. Krieger. Analysis of a finite capacity multi-server delay-loss system with a general Markovian arrival process. In: S.S. Alfa and Methods in Stochastic Models. Marcel S. Chakravarthy (editors), Matrix-Analytic Dekker, 1995. [283] J. Walrand. An Introduction [284] J. Walrand. Communication

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