ORCID Profile
0000-0001-8942-5328
Current Organisation
Curtin University
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Communications Technologies | Electrical and Electronic Engineering | Signal Processing | Signal Processing | Broadband Network Technology | Wireless Communications | Speech Recognition | Medical Devices | Circuits and Systems | Modem Technology | Optimisation | Optical And Photonic Systems | Artificial Intelligence and Image Processing | Calculus of Variations, Systems Theory and Control Theory | Radio Communications And Broadcasting Not Elsewhere Classified | Acoustics and Noise Control (excl. Architectural Acoustics) | Pattern Recognition
Network transmission equipment | Telecommunications | Voice equipment | Mobile Data Networks and Services | Telemetry Equipment | Information processing services | Network switching equipment | Occupational health (excl. economic development aspects) | Expanding Knowledge in Technology | Expanding Knowledge in Engineering | Expanding Knowledge in the Mathematical Sciences |
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2013
Publisher: IEEE
Date: 11-2016
Publisher: IEEE
Date: 04-2007
Publisher: IEEE
Date: 2001
Publisher: IEEE
Date: 2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1992
DOI: 10.1109/8.166535
Publisher: Elsevier BV
Date: 02-2013
Publisher: Springer Science and Business Media LLC
Date: 03-11-2009
DOI: 10.1155/2009/898576
Publisher: IEEE
Date: 09-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1998
DOI: 10.1109/82.659466
Publisher: IEEE
Date: 09-2018
Publisher: IEEE
Date: 10-2014
Publisher: IEEE
Date: 03-2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2012
Publisher: Springer Science and Business Media LLC
Date: 09-03-2012
DOI: 10.1186/1687-6180-2012-62
Abstract: In this article, we consider the design of broadband beamformers with low complexity. In fact, the design problem is multi-objective in nature, trading off between speech distortion and noise suppression. Finding a balance between these two objectives is important in order to achieve a desired sound quality. These measures are introduced as the objectives here. The design can then be obtained via a bi-objective integer programming problem, where the coefficients of the filters are expressed as sums of signed powers-of-two terms. We study two different integer spaces and penalty functions for solving the problem. Then, an algorithm based on a discrete filled function is developed for finding the optimal design. In order to illustrate the effectiveness of the algorithm, real data is used and two broadband beamformers are demonstrated.
Publisher: ACM Press
Date: 2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2013
Publisher: Elsevier BV
Date: 07-2006
Publisher: IEEE
Date: 12-2017
Publisher: IEEE
Date: 08-2015
Publisher: IEEE
Date: 12-2006
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2004
Publisher: Elsevier BV
Date: 03-2012
Publisher: IEEE
Date: 05-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2005
Publisher: IEEE
Date: 12-2017
Publisher: Informa UK Limited
Date: 06-12-2014
Publisher: Elsevier BV
Date: 12-2006
Publisher: Elsevier BV
Date: 02-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1994
DOI: 10.1109/48.338394
Publisher: IEEE
Date: 2003
Publisher: IEEE
Date: 03-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2002
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2002
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2014
Publisher: IEEE
Date: 12-2012
Publisher: Oxford University Press (OUP)
Date: 23-09-2017
DOI: 10.1002/STEM.2700
Abstract: Runt-related transcription factor 1 (Runx1) is a master hematopoietic transcription factor essential for hematopoietic stem cell (HSC) emergence. Runx1-deficient mice die during early embryogenesis due to the inability to establish definitive hematopoiesis. Here, we have used human pluripotent stem cells (hPSCs) as model to study the role of RUNX1 in human embryonic hematopoiesis. Although the three RUNX1 isoforms a, b, and c were induced in CD45+ hematopoietic cells, RUNX1c was the only isoform induced in hematoendothelial progenitors (HEPs)/hemogenic endothelium. Constitutive expression of RUNX1c in human embryonic stem cells enhanced the appearance of HEPs, including hemogenic (CD43+) HEPs and promoted subsequent differentiation into blood cells. Conversely, specific deletion of RUNX1c dramatically reduced the generation of hematopoietic cells from HEPs, indicating that RUNX1c is a master regulator of human hematopoietic development. Gene expression profiling of HEPs revealed a RUNX1c-induced proinflammatory molecular signature, supporting previous studies demonstrating proinflammatory signaling as a regulator of HSC emergence. Collectively, RUNX1c orchestrates hematopoietic specification of hPSCs, possibly in cooperation with proinflammatory signaling.
Publisher: IEEE
Date: 09-2016
Publisher: Elsevier BV
Date: 12-1997
Publisher: IEEE
Date: 09-2018
Publisher: IEEE
Date: 10-2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2014
Publisher: IEEE
Date: 12-2006
Publisher: IEEE
Date: 2005
Publisher: IEEE
Date: 2002
Publisher: IEEE
Date: 10-2007
Publisher: IEEE
Date: 08-2017
Publisher: Association for Computing Machinery (ACM)
Date: 25-10-2016
DOI: 10.1145/2968449
Abstract: Acoustic source localization has many important applications. Convex relaxation provides a viable approach of obtaining good estimates very efficiently. There are two popular convex relaxation methods using either semi-definite programming (SDP) or second-order cone programming (SOCP). However, the performances of the methods have not been studied properly in the literature and there is no comparison in terms of accuracy and performance. The aims of this article are twofold. First of all, we study and compare several convex relaxation methods. We demonstrate, by numerical ex les, that most of the convex relaxation methods cannot localize the source exactly, even in the performance limit when the time difference of arrival (TDOA) information is exact. In addressing this problem, we propose a novel mixed SDP-SOCP relaxation model and study the characteristics of the optimal solutions and its localizable region. Furthermore, an error correction scheme for the proposed SDP-SOCP model is developed so that exact localization can be achieved in the performance limit. Experimental data have been collected in a room with two different array configurations to demonstrate our proposed approach.
Publisher: IEEE
Date: 2003
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2013
Publisher: IEEE
Date: 09-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-1991
DOI: 10.1109/25.69988
Publisher: IEEE
Date: 2005
Publisher: Springer Science and Business Media LLC
Date: 16-09-2010
DOI: 10.1155/2010/694216
Publisher: IEEE
Date: 2005
Publisher: IEEE
Date: 10-2011
Publisher: Springer Science and Business Media LLC
Date: 18-04-2006
Publisher: IEEE
Date: 11-2012
Publisher: Informa UK Limited
Date: 02-2006
Publisher: IEEE
Date: 08-2006
Publisher: IEEE
Date: 12-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2017
Publisher: IEEE
Date: 06-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2011
Publisher: MDPI AG
Date: 11-11-2022
Abstract: This paper proposes a new adaptive algorithm for the second-order blind signal separation (BSS) problem with convolutive mixtures by utilising a combination of an accelerated gradient and a conjugate gradient method. For each iteration of the adaptive algorithm, the search point and the search direction are obtained based on the current and the previous iterations. The algorithm efficiently calculates the step size for the accelerated conjugate gradient algorithm in each iteration. Simulation results show that the proposed accelerated conjugate gradient algorithm with optimal step size converges faster than the accelerated descent algorithm and the steepest descent algorithm with optimal step size while having lower computational complexity. In particular, the number of iterations required for convergence of the accelerated conjugate gradient algorithm is significantly lower than the accelerated descent algorithm and the steepest descent algorithm. In addition, the proposed system achieves improvement in terms of the signal to interference ratio and signal to noise ratio for the dominant speech outputs.
Publisher: IEEE
Date: 2001
Publisher: Elsevier BV
Date: 2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-1994
DOI: 10.1109/97.311804
Publisher: IEEE
Date: 12-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2012
Publisher: MDPI AG
Date: 31-08-2022
DOI: 10.3390/S22176591
Abstract: Adaptive noise cancellation is a useful linear technique to attenuate unwanted background noise that cannot be removed using traditional frequency-selective filters. Usually, this is due to the signal and noise co-existing in the same frequency band. This paper tests a weighted least mean squares (WLMS) algorithm on a stethoscope system for use in detecting coronary artery disease in the presence of background noise. Each stethoscope is equipped with two microphones: one used to detect heart signals and one used to detect background noise. The WLMS method was used for four different sources of background noise whilst measuring a heartbeat, including a single tone, multiple tones, hospital/clinic noise, and breathing noise. The magnitude-squared coherence between both microphones was unity for the tone scenarios, resulting in complete attenuation. For the other background noise sources, a less-than-unity magnitude-squared coherence resulted in minor and no attenuation. Thus, the coherence function is a tool that can be used to predict the amount of attenuation achievable by linear adaptive noise-cancellation techniques, such as WLMS, as presented in this article.
Publisher: IEEE
Date: 04-2015
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2022
Publisher: Elsevier BV
Date: 08-2014
Publisher: Acoustical Society of America (ASA)
Date: 02-2000
DOI: 10.1121/1.428570
Abstract: In acoustic applications, the signal source of interest is generally broadband and the background noise field is predominantly isotropic. In this letter, the performance of the broadband generalized sidelobe canceller, optimized with respect to an isotropic noise field, is analyzed and compared against the performance of the conventional summing beamformer. The comparison is based on an ideal continuous-time infinite-length generalized sidelobe canceller with the aim of determining the performance limits of this beamforming structure.
Publisher: IEEE
Date: 03-2016
Publisher: IEEE
Date: 04-2015
Publisher: IEEE
Date: 06-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2004
Publisher: IEEE
Date: 03-2012
Publisher: IEEE
Date: 05-2014
Publisher: IEEE
Date: 2009
DOI: 10.1109/NSS.2009.44
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1993
DOI: 10.1109/25.260760
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2003
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2019
Publisher: IEEE
Date: 10-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2015
Publisher: Institution of Engineering and Technology (IET)
Date: 2006
DOI: 10.1049/EL:20061858
Publisher: IEEE
Date: 08-2006
Publisher: IEEE
Date: 12-2016
Publisher: IEEE
Date: 10-2015
Publisher: IEEE
Date: 2005
Publisher: Springer Science and Business Media LLC
Date: 16-07-2007
DOI: 10.1155/2008/860360
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2003
Publisher: IEEE
Date: 2001
Publisher: IEEE
Date: 11-2201
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2015
Publisher: IEEE
Date: 11-2013
Publisher: IEEE
Date: 09-2014
Publisher: IEEE
Date: 10-2012
Publisher: IEEE
Date: 06-2011
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2014
Publisher: IEEE
Date: 09-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Elsevier BV
Date: 09-1991
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2006
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2017
Publisher: IEEE
Date: 11-2012
Publisher: IEEE
Date: 2003
Publisher: IEEE
Date: 05-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2007
Publisher: Springer Science and Business Media LLC
Date: 13-03-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2009
Publisher: Springer Science and Business Media LLC
Date: 2005
Publisher: ACM Press
Date: 2015
Publisher: IEEE
Date: 2002
Publisher: IEEE
Date: 10-2016
Publisher: IEEE
Date: 10-2016
Publisher: Acoustical Society of America (ASA)
Date: 2018
DOI: 10.1121/1.5020269
Abstract: Adaptive feedback cancellation (AFC) techniques are common in modern hearing aid devices (HADs) since these techniques have been successful in increasing the stable gain. Accordingly, there has been a significant effort to improve AFC technology, especially for open-fitting and in-ear HADs, for which howling is more prevalent due to the large acoustic coupling between the loudspeaker and the microphone. In this paper, the authors propose a hybrid AFC (H-AFC) scheme that is able to shorten the time it takes to recover from howling. The proposed H-AFC scheme consists of a switched combination adaptive filter, which is controlled by a soft-clipping-based stability detector to select either the standard normalized least mean squares (NLMS) algorithm or the prediction-error-method (PEM) NLMS algorithm to update the adaptive filter. The standard NLMS algorithm is used to obtain fast convergence, while the PEM-NLMS algorithm is used to provide a low bias solution. This stability-controlled adaptation is hence the means to improve performance in terms of both convergence rate as well as misalignment, while only slightly increasing computational complexity. The proposed H-AFC scheme has been evaluated for both speech and music signals, resulting in a significantly improved convergence and re-convergence rate, i.e., a shorter howling period, as well as a lower average misalignment and a larger added stable gain compared to using either the NLMS or the PEM-NLMS algorithm alone. An objective evaluation using the perceptual evaluation of speech quality and the perceptual evaluation of audio quality measures shows that the proposed H-AFC scheme provides very high-quality speech and music signals. This has also been verified through a subjective listening experiment with N = 15 normal-hearing subjects using a multi-stimulus test with hidden reference and anchor, showing that the proposed H-AFC scheme results in a better perceptual quality than the state-of-the-art PEM-NLMS algorithm.
Publisher: MDPI AG
Date: 09-08-2021
DOI: 10.3390/AUDIOLRES11030037
Abstract: Acoustic coupling between microphone and loudspeaker is a significant problem in open-fit digital hearing aids. An open-fit compared to a close-fit hearing aid significantly lowers the signal quality and limits the achievable maximum stable gain. Adaptive feedback cancellation (AFC) enables an efficient approach to reduce the impact of acoustic coupling. However, without careful consideration, it can also introduce bias in estimating the feedback path due to the high correlation between the loudspeaker signal and the incoming signal, especially when the incoming signal is spectrally coloured, e.g., speech and music. The prediction error method (PEM) is well known for reducing this bias. The presented study aims to propose a switched PEM with soft-clipping (swPEMSC) that allows for further improvement in convergence/tracking rates, resulting in a better ability to recover from unstable/howling status. This swPEMSC employs a new update rule inspired by a soft-clipping based stability detector (SCSD). It allows to pick up either the PEMSC-NLMS or PEMSC-APA depending on the magnitude of the effective feedback signal howling corresponds to a large feedback signal. The PEMSC-NLMS with a small step-size ensures a low steady-state error, but slow convergence/tracking rates, while PEMSC-APA with a large step-size allows for fast convergence/tracking rates, but a high steady-state error. By combining those approaches, the proposed approach can take advantage of good characteristics from both. Experimental results using different types of incoming signals and an abrupt change of feedback paths show that the swPEMSC can shorten unstable periods (howling) by improving the convergence and tracking rates while retaining a low steady-state error and good signal quality.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2005
Publisher: IEEE
Date: 08-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2015
Publisher: IEEE
Date: 04-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2007
Publisher: IEEE
Date: 05-2009
Publisher: IEEE
Date: 10-2013
Publisher: IEEE
Date: 2005
Publisher: Wiley
Date: 2002
DOI: 10.1002/ACS.728
Publisher: IEEE
Date: 2005
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2012
Publisher: IEEE
Date: 2005
Publisher: IEEE
Date: 05-2002
Publisher: IEEE
Date: 2005
Publisher: Elsevier BV
Date: 2017
Publisher: IEEE
Date: 05-2014
Publisher: MDPI AG
Date: 30-04-2022
DOI: 10.3390/S22093436
Abstract: Adaptive modulation received significant attention for underwater acoustic (UA) communication systems with the aim of increasing the system efficiency. It is challenging to attain a high data rate in UA communication, as UA channels vary fast, along with the environmental factors. For a time-varying UA channel, a self-adaptive system is an attractive option, which can choose the best method according to the channel condition to guarantee the continuous connectivity and high performance constantly. A real-time orthogonal frequency- ision multiplexing (OFDM)-based adaptive UA communication system is presented in this paper, employing the National Instruments (NI) LabVIEW software and NI CompactDAQ device. In this paper, the received SNR is considered as a performance metric to select the transmission parameters, which are sent back to the transmitter for data transmission. In this research, a UA OFDM communication system is developed, employing adaptive modulation schemes for a nonstationary UA environment which allows to select subcarriers, modulation size, and allocate power adaptively to enhance the reliability of communication, guarantee continuous connectivity, and boost data rate. The recent UA communication experiments carried out in the Canning River, Western Australia, verify the performance of the proposed adaptive UA OFDM system, and the experimental results confirm the superiority of the proposed adaptive scheme.
Publisher: Elsevier BV
Date: 2014
Publisher: IEEE
Date: 2008
Publisher: IEEE
Date: 06-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2001
DOI: 10.1109/89.928917
Publisher: Elsevier BV
Date: 10-2013
Publisher: IEEE
Date: 09-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2007
Publisher: IEEE
Date: 12-2017
Publisher: IEEE
Date: 2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2004
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2003
Publisher: IEEE
Date: 2005
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2014
Publisher: IEEE
Date: 12-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-1999
DOI: 10.1109/89.759030
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Wiley
Date: 2002
DOI: 10.1002/ACS.724
Publisher: IEEE
Date: 07-2015
Publisher: IEEE
Date: 10-2017
Publisher: IEEE
Date: 07-2015
Publisher: Elsevier BV
Date: 03-2018
Publisher: IEEE
Date: 10-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2008
Publisher: Elsevier BV
Date: 02-2010
Publisher: IEEE
Date: 06-2014
Publisher: IEEE
Date: 12-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2008
Publisher: IEEE
Date: 04-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2003
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2014
Publisher: IEEE
Date: 03-2012
Publisher: Springer Science and Business Media LLC
Date: 06-11-2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2019
Publisher: IEEE
Date: 12-2010
Publisher: Springer Science and Business Media LLC
Date: 23-10-2013
Publisher: IEEE
Date: 08-2006
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2019
Publisher: IEEE
Date: 2003
Publisher: Springer Science and Business Media LLC
Date: 24-02-2017
Publisher: IEEE
Date: 2003
Publisher: IEEE
Date: 2003
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1992
DOI: 10.1109/78.124966
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2012
Publisher: IEEE
Date: 03-2017
Publisher: IEEE
Date: 05-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: Springer Science and Business Media LLC
Date: 2005
Publisher: IEEE
Date: 2005
Publisher: Elsevier BV
Date: 05-2013
Publisher: Springer Science and Business Media LLC
Date: 15-03-2014
Publisher: IEEE
Date: 03-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2006
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2001
DOI: 10.1109/89.966083
Publisher: IEEE
Date: 03-2017
Publisher: IEEE
Date: 12-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2014
Start Date: 2011
End Date: 12-2015
Amount: $520,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2004
End Date: 2007
Amount: $291,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2015
End Date: 12-2018
Amount: $300,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2010
End Date: 08-2014
Amount: $230,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2017
End Date: 06-2021
Amount: $357,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2010
End Date: 12-2013
Amount: $358,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2003
End Date: 12-2003
Amount: $20,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 12-2004
End Date: 01-2011
Amount: $1,500,000.00
Funder: Australian Research Council
View Funded Activity