Zobrazeno 1 - 10
of 50
pro vyhledávání: '"R.A. Casas"'
Publikováno v:
Automatica. 38:1753-1760
Prediction error methods are considered for identification of the forward linear dynamics of nonlinear feedback closed-loop systems which operate in a perturbed stable limit cycle. A model of the signals measured in a neighborhood of the limit cycle
Publikováno v:
IEEE Signal Processing Letters. 7:31-33
The vector-constant modulus (VCM) criterion is an extension of the constant modulus (CM) criterion introduced recently for equalization of channels involving Gaussian sources. In this letter, we analyze the behavior of VCM for arbitrary source distri
Publikováno v:
Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002..
We introduce an algorithm for compensating for carrier phase noise in an OFDM communication system. Through the creation of a linearized parametric model for phase noise, we generate a least squares (LS) estimate of the transmitted symbol. Using digi
Publikováno v:
Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020).
The vector-constant modulus (VCM) criterion is an extension of the constant modulus (CM) criterion introduced previously for equalization of channels involving Gaussian sources. We analyze the behavior of VCM for arbitrary source distributions and co
Publikováno v:
WCNC
We consider a generic blind adaptive DFE initialization strategy which begins with blind adaptation of a linear structure minimizing MSE followed by a switch to decision-direction under the nonlinear DFE structure. We show that this very natural sche
Publikováno v:
1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304).
This paper analytically compares, in terms of the convergence time, fast least squares estimation algorithms for channel identification and equalization to looping LMS (LLMS), a scheme which repeatedly applies the least mean squares algorithm to a bl
Publikováno v:
Proceedings of 13th International Conference on Digital Signal Processing.
This paper adds analytical tools to an evolving theory on fractionally-spaced equalizer (FSE) design. It examines the minimum mean square error design (MMSE-FSE) for channels perturbed by additive noise in two scenarios: when the equalizer is finite,
Autor:
Chris R. Johnson, R.A. Casas
Publikováno v:
First IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications.
This paper shows that a fractionally-spaced equalizer (FSE) and decision feedback equalizer (DFE) combination, initialized from an open-eye condition, jointly adapted by a decision-directed algorithm, and in the absence of noise, is guaranteed to con
Autor:
Chris R. Johnson, T.J. Endres, R.A. Casas, Z. Reznic, W.E. Meyer, H.J. Lee, J.P. LeBlanc, E. Tai
Publikováno v:
Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.
Advances in blind identification of fractionally-spaced models for digital communication channels and blind fractionally-spaced equalizer adaptation rely on the assumption that the time span chosen for the fractionally-spaced equalizer exceeds that o
Publikováno v:
ICASSP
Bussgang algorithms are a class of simple stochastic gradient type solutions for blind channel equalization. We investigate the degradation of performance in the source estimation resulting from the stochastic jitter around stationary points of Bussg