WorldCat Identities

Mulgrew, Bernard 1958-

Overview
Works: 32 works in 69 publications in 2 languages and 533 library holdings
Roles: Author
Publication Timeline
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Most widely held works by Bernard Mulgrew
Adaptive filters and equalisers by Bernard Mulgrew( Book )

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

Shu wei xun hao chu li = Digital signal processing : concepts and applications by Bernard Mulgrew( Book )

1 edition published in 2001 in Chinese and held by 4 WorldCat member libraries worldwide

Ben shu jie shao le xun hao yu xi tong xiang ying, zi liao qu yang xi tong, sui ji xun hao fen xi, pin pu fen xi de ji chu deng nei
On adaptive filter structure and performance by Bernard Mulgrew( Book )

3 editions published in 1987 in English and held by 3 WorldCat member libraries worldwide

Nonlinear and non-Gaussian signal processing( Book )

1 edition published in 2004 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

Cyclostationary blind equalisation in mobile communications by Jon Altuna( )

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
A Bayesian framework for multiple acoustic source tracking by Xionghu Zhong( )

1 edition published in 2010 in English and held by 1 WorldCat member library worldwide

Acoustic source (speaker) tracking in the room environment plays an important role in many speech and audio applications such as multimedia, hearing aids and hands-free speech communication and teleconferencing systems; the position information can be fed into a higher processing stage for high-quality speech acquisition, enhancement of a specific speech signal in the presence of other competing talkers, or keeping a camera focused on the speaker in a video-conferencing scenario. Most of existing systems focus on the single source tracking problem, which assumes one and only one source is active all the time, and the state to be estimated is simply the source position. However, in practical scenarios, multiple speakers may be simultaneously active, and the tracking algorithm should be able to localise each individual source and estimate the number of sources. This thesis contains three contributions towards solutions to multiple acoustic source tracking in a moderate noisy and reverberant environment. The first contribution of this thesis is proposing a time-delay of arrival (TDOA) estimation approach for multiple sources. Although the phase transform (PHAT) weighted generalised cross-correlation (GCC) method has been employed to extract the TDOAs of multiple sources, it is primarily used for a single source scenario and its performance for multiple TDOA estimation has not been comprehensively studied. The proposed approach combines the degenerate unmixing estimation technique (DUET) and GCC method. Since the speech mixtures are assumed window-disjoint orthogonal (WDO) in the time-frequency domain, the spectrograms can be separated by employing DUET, and the GCC method can then be applied to the spectrogram of each individual source. The probabilities of detection and false alarm are also proposed to evaluate the TDOA estimation performance under a series of experimental parameters. Next, considering multiple acoustic sources may appear nonconcurrently, an extended Kalman particle filtering (EKPF) is developed for a special multiple acoustic source tracking problem, namely "nonconcurrent multiple acoustic tracking (NMAT)". The extended Kalman filter (EKF) is used to approximate the optimum weights, and the subsequent particle filtering (PF) naturally takes the previous position estimates as well as the current TDOA measurements into account. The proposed approach is thus able to lock on the sharp change of the source position quickly, and avoid the tracking-lag in the general sequential importance resampling (SIR) PF. Finally, these investigations are extended into an approach to track the multiple unknown and time-varying number of acoustic sources. The DUET-GCC method is used to obtain the TDOA measurements for multiple sources and a random finite set (RFS) based Rao-blackwellised PF is employed and modified to track the sources. Each particle has a RFS form encapsulating the states of all sources and is capable of addressing source dynamics: source survival, new source appearance and source deactivation. A data association variable is defined to depict the source dynamic and its relation to the measurements. The Rao-blackwellisation step is used to decompose the state: the source positions are marginalised by using an EKF, and only the data association variable needs to be handled by a PF. The performances of all the proposed approaches are extensively studied under different noisy and reverberant environments, and are favorably comparable with the existing tracking techniques
Bearing estimation techniques for improved performance spread spectrum receivers by John S Thompson( )

1 edition published in 1996 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

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

Analogue and digital signal processing and coding( Visual )

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

Adaptive equalisation for impulsive noise environments by Apostolos T Georgiadis( )

1 edition published in 2001 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

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

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

Adaptive bayesian equalizer with decision feedback by Sheng Chen( )

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

 
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Adaptive filters and equalisers
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