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Effective compression of hyperspectral imagery using improved three dimensional discrete cosine transform

Effective compression of hyperspectral imagery using improve...

引用

2013 6th UK, Europe, China Millimeter Waves and THz Technology Workshop, UCMMT 2013

作者： Qiao, Tong Ren, Jinchang Craigie, Cameron Marshall, Stephen Maltin, Charlotte Centre for Excellence in Signal and Image Processing University of Strathclyde Glasgow United Kingdom Quality Meat Scotland Rural Centre Ingliston Edinburgh United Kingdom

ISBN: (纸本)9781479909810

Though hyperspectral imaging (HSI, or hypercube) has been applied in a wide range of applications, it suffers from massive volume of data for efficient data storage and transmission. Herein improved 3D discrete cosine transform (DCT) is proposed with good results yielded. Experiments on several datasets have validated the efficacy of our approach. © 2013 IEEE.

关键词： image compression

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Using head movement information to increase the accuracy of computational auditory scene analysis in a microphone array

Using head movement information to increase the accuracy of ...

引用

Annual Spring Conference, Acoustics 2013

作者： Boyd, A.W. Whitmer, W.M. Brimijoin, W.O. Akeroyd, M.A. Centre for excellence in Signal and Image Processing Department of Electronic and Electrical Engineering University of Strathclyde Glasgow United Kingdom Glasgow United Kingdom

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Improved estimation of direction of arrival of sound sources for hearing aids using gyroscopic information

Improved estimation of direction of arrival of sound sources...

引用

21st International Congress on Acoustics, ICA 2013 - 165th Meeting of the Acoustical Society of America

作者： Boyd, Alan W. Whitmer, William M. Brimijoin, W. Owen Akeroyd, Michael A. Centre for Excellence in Signal and Image Processing University of Strathclyde 204 George St. Glasgow G1 1XW Lanarkshire United Kingdom

Determining the direction of arrival (DOA) of a sound source is important in spatial audio signal processing, as it can lead to substantial improvement in noise reduction performance. Techniques such as generalized cross correlation with phase transform (GCC-PHAT) and adaptive eigenvalue decomposition (AED) perform optimally when the measurement microphones are fixed in place. However, hearing-aid microphones move with the listener's head movements, which can result in momentarily inaccurate directional estimates and noise artifacts in the output signal. Techniques such as GCC-PHAT experience degraded short-term performance in the presence of multiple signals and noise. The system presented measures instantaneous head movement velocity using a micro-electromechanical systems (MEMS) gyroscope attached to binaurally-communicating hearing aids. Estimates of DOA for physically stationary sources are shifted based on the gyroscope's head-movement information. Using GCC-PHAT with gyroscopic input can produce robust in situ DOA estimates for several sources in reverberant environments. In addition, the gyroscope allows an adaptive beamformer to be steered to a target direction, compensating for head movements on a very short timescale during DOA estimation. Results show improved localization performance over a standard GCC-PHAT system during head movements. © 2013 Acoustical Society of America.

关键词： Microphones

来源：评论

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Effective classification of microcalcification clusters using improved support vector machine with optimised decision making

Effective classification of microcalcification clusters usin...

引用

2013 7th International Conference on image and Graphics, ICIG 2013

作者： Ren, Jinchang Wang, Zheng Sun, Meijun Soraghan, John Centre for Excellence in Signal and Image Processing University of Strathclyde Glasgow United Kingdom School of Computer Software Tianjin University Tianjin China School of Computer Science and Technology Tianjin University Tianjin China

ISBN: (纸本)9780769550503

Classification of micro calcification clusters is very essential for early detection of breast cancer from mammograms. In this paper, an improved support vector machine (SVM) scheme is proposed, where optimized decision making is introduced for effective and more accurate data classification. Experimental results on the well-known DDSM database have shown that the proposed method can significantly increase the performance in terms of F1 and Az measurements for the successful classification of clustered micro calcifications. © 2013 IEEE.

关键词： Computer aided diagnosis

来源：评论

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Effective compression of hyperspectral imagery using improved three dimensional discrete cosine transform

Effective compression of hyperspectral imagery using improve...

引用

UK, Europe, China Millimeter Waves and THz Technology Workshop (UCMMT)

作者： Tong Qiao Jinchang Ren Cameron Craigie Stephen Marshall Charlotte Maltin Centre for excellence Signal and Image Processing University of Strathclyde Glasgow UK Quality Meat Scotland Rural Centre Edinburgh UK

关键词： Discrete cosine transforms image coding Three-dimensional displays Hyperspectral imaging Hypercubes Correlation Spectral analysis

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Micro-Doppler based target classification using multi-feature integration

Micro-Doppler based target classification using multi-featur...

引用

IET Intelligent signal processing Conference

作者： A. W. Miller C. Clemente A. Robinson D. Greig A. M. Kinghorn J. J. Soraghan Centre for Excellence in Signal and Image Processing Department of Electronic and Electrical Engineering University of Strathclyde Selex ES a Finmeccanica Company

ISBN: (纸本)9781629938431

Three novel micro-Doppler feature extraction algorithms are presented and applied to a dataset containing real X-band radar data of moving ground targets. In each case data dimensional reduction was carried out using principal component analysis (PCA) and incorporated into the feature extraction process. Extracted features are classified using a support vector machine (SVM) classifier. It was found that all three algorithms were able to produce classification accuracies in excess of 90%. The performance of the different algorithms are shown to depend on the method used and the degree of dimensionality reduction imposed at the PCA stage.

关键词： Micro-Doppler Target Classification Robust Principal Component Analysis (RPCA) Minimum Covariance Determinant (MCD) Estimator Support Vector Machine (SVM) Classification

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Effective Classification of Microcalcification Clusters Using Improved Support Vector Machine with Optimised Decision Making

Effective Classification of Microcalcification Clusters Usin...

引用

International Conference on image and Graphics (ICIG)

作者： Jinchang Ren Zheng Wang Meijun Sun John Soraghan Centre for excellence in Signal and Image Processing University of Strathclyde Glasgow UK School of Computer Software Tianjin University Tianjin China

关键词： Support vector machines Decision making Feature extraction Training Breast cancer Kernel

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Micro-doppler based target classification using multi-feature integration

Micro-doppler based target classification using multi-featur...

引用

IET Intelligent signal processing Conference 2013, ISP 2013

作者： Miller, A.W. Clemente, C. Robinson, A. Greig, D. Kinghorn, A.M. Soraghan, J.J. Department of Electronic and Electrical Engineering Centre for Excellence in Signal and Image Processing University of Strathclyde 204 George Street Glasgow G1 1XW United Kingdom A Finmeccanica Company Selex ES Ferry Road Edinburgh EH 2XS United Kingdom

ISBN: (纸本)9781849197748

关键词： Principal component analysis

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Pulse Active Harmonic (PAH) Features for ECG Biometric Authentication

Pulse Active Harmonic (PAH) Features for ECG Biometric Authe...

引用

International Conference on Artificial Intelligence, Modelling and Simulation (AIMS)

作者： Sairul Safie Nur Haris Azavitra Zainal John Soraghan Lykourgos Petropoulakis Universiti Kuala Lumpur Malaysian Institute of Industrial Technology Johor Bahru Johor Centre for Excellence in Signal and Image Processing University of Strathclyde Glasgow Scotland

This paper presents a feature extraction method known as Pulse Active Harmonic (PAH) implemented on electrocardiograph (ECG) signals for biometric authentication. The technique is based on a pulse width modulation concept. A total of 200 Eggs from 100 subjects, taken from the Physikalisch-Technische Bundesanstalt (PTB) database are used in the simulations. Biometric performance profile such as the area under ROC (AUR) and equal error rate (EER) are then used to evaluate the results. This work shows that: a) the PAH method outperforms conventional temporal feature extraction techniques, b) its performance is comparable to other, previously introduced, Pulse Active based methods. Hence, owing to their close similarities Pulse Active approaches can readily be combined to form robust and inherently secure biometric authentication systems.

关键词： Electrocardiography Feature extraction Databases Vectors Harmonic analysis Authentication Training

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Comparison of Pulse Active Ratio Similarity Measurement

Comparison of Pulse Active Ratio Similarity Measurement

引用

International Conference on Artificial Intelligence, Modelling and Simulation (AIMS)

作者： Haidawati Nasir Sairul I. Safie Kushsairy A. Kadir John J. Soraghan Lykourgos Petropoulakis Universiti Kuala Lumpur Malaysian Institute of Information Technology (MIIT) Kuala Lumpur Malaysia Centre for Excellence in Signal and Image Processing University of Strathclyde Glasgow Scotland

Distance measurement is a quantitative tool to measure similarity or dissimilarity between two objects. A correct selection of distance measurement will enhance the performance of a biometric authentication system. In this paper, various types of distance measurement methods such as Euclidean distance, City block distance, Chebyshevdistance, Minkowskidistance, Sorensen distance, Cosine distance and Mahalanobis distance are evaluated to determine the best similarity measure to be used with the novel pulse active ratio (PAR) feature extraction method. The results are obtained based on comparing 486 electrocardiography (ECG)signals which provide a total of 42,149 ECG comparisons. The comparisons show that the similarity measurement based on Sorensen distance gives the best matching algorithm to increase the performance of the PAR ECG biometric approach.

关键词： Electrocardiography Feature extraction Databases Vectors Pulse measurements Authentication Distance measurement

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