Blind equalization using the constant modulus criterion: A review
R Johnson, P Schniter, TJ Endres… - Proceedings of the …, 1998 - ieeexplore.ieee.org
This paper provides a tutorial introduction to the constant modulus (CM) criterion for blind
fractionally spaced equalizer (FSE) design via a (stochastic) gradient descent algorithm …
fractionally spaced equalizer (FSE) design via a (stochastic) gradient descent algorithm …
[引用][C] Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
A Cichocki - John Wiley & Sons google schola, 2002 - books.google.com
With solid theoretical foundations and numerous potential applications, Blind Signal
Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume …
Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume …
Ill-convergence of Godard blind equalizers in data communication systems
The existence of stable undesirable equilibria for the Godard algorithm is demonstrated
through a simple autoregressive (AR) channel model. These undesirable equilibria …
through a simple autoregressive (AR) channel model. These undesirable equilibria …
Approaches to blind equalization of signals with multiple modulus
W Sethares, GA Rey… - … Conference on Acoustics …, 1989 - ieeexplore.ieee.org
The constant modulus algorithm (CMA) and decision-directed (DD) equalizer are two ways
to approach blind equalization of signals that are known to lie on a circle of fixed radius, but …
to approach blind equalization of signals that are known to lie on a circle of fixed radius, but …
Godard blind equalizer error surface characteristics: White, zero‐mean, binary source case
CR Johnson Jr, BDO Anderson - International Journal of …, 1995 - Wiley Online Library
We study the Godard/CMA error surface in adapting the impulse response coefficients of a
finite‐length, tapped‐delay‐line filter to equalize a white, zero‐mean, binary (±1) source that …
finite‐length, tapped‐delay‐line filter to equalize a white, zero‐mean, binary (±1) source that …
An analysis of constant modulus receivers
HH Zeng, L Tong, CR Johnson - IEEE transactions on Signal …, 1999 - ieeexplore.ieee.org
This paper investigates connections between (non-blind) Wiener receivers and blind
receivers designed by minimizing the constant modulus (CM) cost. Applicable to both T …
receivers designed by minimizing the constant modulus (CM) cost. Applicable to both T …
Adaptive estimation of latency changes in evoked potentials
X Kong, NV Thakor - IEEE transactions on biomedical …, 1996 - ieeexplore.ieee.org
Changes in latency of evoked potentials (EP) may indicate clinically and diagnostically
important changes in the status of the nervous system. A low signal-to-noise ratio of the EP …
important changes in the status of the nervous system. A low signal-to-noise ratio of the EP …
On the interaction of adaptive filtering, identification, and control
CR Johnson - IEEE Signal Processing Magazine, 1995 - ieeexplore.ieee.org
The aim of the article is to add to the evidence of the need for interaction between the two
field of (i) signal processing and (ii) control and estimation. The focus in on the the …
field of (i) signal processing and (ii) control and estimation. The focus in on the the …
On the convergence of blind adaptive equalizers for constant modulus signals
This paper studies the behavior of the error sequence of stop-anti-go variants of two
adaptive blind equalizers, namely CMA2-2 and Sato's (1975) algorithm. It is shown that for …
adaptive blind equalizers, namely CMA2-2 and Sato's (1975) algorithm. It is shown that for …
Stationary points of the constant modulus algorithm for real Gaussian signals
CK Chan, JJ Shynk - IEEE Transactions on Acoustics, Speech …, 1990 - ieeexplore.ieee.org
An analysis of the stationary points for four versions of the constant modulus algorithm
(CMA) when the received signal is a zero-mean, real Gaussian process is presented. With …
(CMA) when the received signal is a zero-mean, real Gaussian process is presented. With …