Zobrazeno 1 - 10
of 476
pro vyhledávání: '"MMSE ZF"'
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Publikováno v:
2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA).
Conference
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Autor:
Houcem Gazzah
Publikováno v:
2011 IEEE GCC Conference and Exhibition (GCC).
We propose a blind equalization algorithm that computes the MMSE/ZF equalizer with a specified length and delay. Little computation is needed in addition to the eigen vector decomposition of the channel covariance matrix, resulting in a complexity si
Autor:
Dirk Slock, M. Triki
Publikováno v:
ICASSP (1)
The linear prediction algorithm estimates a zero-forcing (ZF) equalizer from the SIMO channel output's second order statistics. Linear prediction can be easily extended in the presence of an additive white noise, since the white noise variance can be
Autor:
J. Ayadi, D.T.M. Slock
Publikováno v:
1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304).
We investigate a new multichannel estimation method based on blind MMSE ZF equalization. The recently proposed method by Tsatsanis et al. (1997) corresponds to unbiased MMSE equalization. We interpret this approach in terms of two-sided linear predic
Autor:
Houcem Gazzah
Publikováno v:
ICT
The reconstruction delay has been, for long time, recognized a significant impact on the performance of an equalizer. Still, no proofs were given that sustain the experimental observations. In this note, we develop a formal analysis that shows that o
Autor:
Dirk Slock, A. Bastug
Publikováno v:
The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.
In this paper we consider iterative techniques for multi-user detection. In the overdetermined case in which signal and noise subspaces exist, polynomial expansion can perhaps most conveniently be applied to a global MMSE ZF linear receiver. In the r
Autor:
D.T.M. Slock, Jaouhar Ayadi
Publikováno v:
Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324).
Previously, we presented a new multichannel estimation method based on blind MMSE ZF equalization. The recently proposed method by Tsatsanis et al. (1997) corresponds to unbiased MMSE equalization. We interpret this approach in terms of two-sided lin
Conference
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