WorldCat Identities

Mulgrew, Bernard 1958-

Overview
Works: 30 works in 60 publications in 2 languages and 516 library holdings
Roles: Author
Classifications: TK7872.F5, 621.3815324
Publication Timeline
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Most widely held works by Bernard Mulgrew
Adaptive filters by Bernard Mulgrew( Book )

9 editions published in 1988 in English and held by 232 WorldCat member libraries worldwide

Digital signal processing : concepts and applications by Bernard Mulgrew( Book )

23 editions published between 1998 and 2003 in English and Chinese and held by 218 WorldCat member libraries worldwide

This book is a comprehensive introduction to digital signal processing which is a growing and important area for all aspiring electronics or communications engineers
Semi-blind equalisation for multiple-input multiple-output MC-CDMA systems by Jon Altuna Iraola( Book )

1 edition published in 2001 in English and held by 1 WorldCat member library worldwide

Sparce LCMV beamformer design for suppression of ground clutter in airborne radar by Iain Scott( )

1 edition published in 1995 in English and held by 1 WorldCat member library worldwide

Nonlinear and non-Gaussian signal processing( Book )

1 edition published in 2004 in English and held by 1 WorldCat member library worldwide

Adaptive Bayesian decision feedback equalizer for dispersive mobile radio channels by Sheng Chen( )

1 edition published in 1995 in English and held by 1 WorldCat member library worldwide

Analogue and digital signal processing and coding( Visual )

1 edition published in 1989 in English and held by 1 WorldCat member library worldwide

A fast adaptive method for subspace based blind channel estimation by Jon Altuna Iraola( Book )

1 edition published in 2006 in English and held by 1 WorldCat member library worldwide

On adaptive filter structure and performance by Bernard Mulgrew( )

1 edition published in 1987 in English and held by 1 WorldCat member library worldwide

Adaptive bayesian equalizer with decision feedback by Sheng Chen( )

1 edition published in 1993 in English and held by 1 WorldCat member library worldwide

Analogue and digital signal processing and coding( Visual )

1 edition published in 1989 in English and held by 1 WorldCat member library worldwide

Nonlinear system identification and prediction using orthonormal functions by Iain Scott( )

1 edition published in 1997 in English and held by 1 WorldCat member library worldwide

Special section on nonlinear and non-Gaussian signal processing( Book )

1 edition published in 2004 in English and held by 1 WorldCat member library worldwide

Development of fuzzy system based channel equalisers by Sarat Kumar Patra( )

1 edition published in 1998 in English and held by 1 WorldCat member library worldwide

Applying radial basis functions by Bernard Mulgrew( )

1 edition published in 1996 in English and held by 1 WorldCat member library worldwide

Analogue and digital signal processing and coding( Visual )

1 edition published in 1989 in English and held by 1 WorldCat member library worldwide

Gradient raidal basis function funcion networks for nonlinear and nonstationary time series prediction by E. S Chng( )

1 edition published in 1996 in English and held by 1 WorldCat member library worldwide

Bearing estimation techniques for improved performance spread spectrum receivers by John Smith Thompson( )

1 edition published in 1996 in English and held by 1 WorldCat member library worldwide

A comparison of cyclostationary blind equalization algorithms in the mobile radio environment by Jon Altuna Iraola( Book )

1 edition published in 1998 in English and held by 1 WorldCat member library worldwide

Cyclostationary blind equalisation in mobile communications by Jon Altuna Iraola( )

1 edition published in 1998 in English and held by 1 WorldCat member library worldwide

Blind channel identification and equalisation are the processes by which a channel impulse response can be identified and proper equaliser filter coefficients can be obtained, without knowledge of the transmitted signal. Techniques that exploit cyclostationarity can reveal information about systems which are nonminimum phase; nonminimum phase channels cannot be identified using only second-order statistics (SOS), because these do not contain the necessary phase information. Cyclostationary blind equalisation methods exploit the fact that, sampling the received signal at a rate higher than the transmitted signal symbol rate, the received signal becomes cyclostationary. In general, cyclostationary blind equalisers can identify a channel with less data than higher-order statistics (HOS) methods, and unlike these, no constraint is imposed on the probability distribution function of the input signal. Nevertheless, cyclostationary methods suffer from some drawbacks, such as the fact that some channels are unidentifiable when they exhibit a number of zeros equally spaced around the unit circle. In this thesis the performance of a cyclostationary blind channel identification algorithm combined with a maximum-likelihood sequence estimation receiver is analysed. The simulations were conducted in the pan-European mobile communication system GSM environment and the performance of the blind technique was compared with conventional channel estimation methods using training. It is shown that although blind equalisation techniques can converge in a few hundred symbols in a time-invariant channel environment, the degradation with respect to methods with training is still considerable. Yet, the fact that a dedicated training sequence is not needed makes blind techniques attractive, because the data used for training purposes can be re-allocated as information data. In the concluding part of this thesis a new blind channel identification algorithm which combines methods that exploit cyclostationarity implicitly and explicitly is presented. It is shown that the properties of cyclostationary statistics are exploited in the new algorithm, and enhance the performance of the technique that solely exploits fractionally-spaced sampling. The algorithm is robust in the presence of correlated noise and interference from adjacent users
 
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Adaptive filters
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Digital signal processing : concepts and applications