Use of higher order statistics in source signature estimation

Broadhead, Michael K.; Pflug, Lisa A.; Field, Robert L.

doi:10.1121/1.428645

Cited by 21 publications

(12 citation statements)

References 13 publications

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“…The rotated component matrix can be used to enhance the result of PCA and discover the best pattern of loadings in a manner that is simpler to interpret (Reinard, 2006). A recommended approach which is known as the Varimax was used to improve the results by maximizing the loading of each variable on one of the extracted components whilst minimizing its loading on all the other components (Broadhead, Pflug and Field, 2000). Prior to analysing the data, it is important to check the reliability of measurement scale of the questionnaire and the appropriateness of factor analysis.…”

Section: Methods Of Data Analysismentioning

confidence: 99%

Determining Success Criteria and Success Factors for International Construction Projects for Malaysian Contractors

Alashwal¹,

Fareed²,

Al-Obaidi³

2017

CEB

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The success of international construction projects is fraught with various challenges such as competitiveness, lack of resources, versatile global economy, and specific conditions in the host country. Malaysian contractors have been venturing into global construction market since early 1980s. However, their venturing was not successful all the time. The number of international projects awarded to Malaysian contractors has reduced drastically during the past decade. Taking advantage of this experience, this paper aims to identify the success criteria and success factors of international construction projects. The data was collected from 120 respondents using a questionnaire survey and analysed using principal component analysis and regression analysis. The results revealed three principal criteria of project success namely, Management Success, Functional Success, and Organisation Success. The main components of success factors include Team Power and Skills, Resource Availability, External Environment, Organisation Capability, Project Support, and Project Organisation. Further analysis emphasized the importance of strong financing capacity of contractors, project social environment, and competence of the project manager in achieving project success. The results of this paper can serve as a guideline for contractors and project managers to achieve success in this context. Future studies may provide in-depth analysis of success criteria and success factors specific for construction project type and host-country location.

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Section: Methods Of Data Analysismentioning

confidence: 99%

Determining Success Criteria and Success Factors for International Construction Projects for Malaysian Contractors

Alashwal¹,

Fareed²,

Al-Obaidi³

2017

CEB

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“…Other researchers have employed statistical techniques, like higher order statististics 5 and minimum entropy deconvolution ͑MED͒. 6 For the case of a shallow water channel with long observation distances ͑for which many modes are excited͒, one requires a large array of receivers for the channel Green's function to satisfy the requirements of these methods. In addition to work on channel deconvolution, Runkle et al 7 have demonstrated that classification accuracy may be greatly improved by fusing scattering data from multiple orientations around a target, via a hidden Markov model ͑HMM͒.…”

Section: Introductionmentioning

confidence: 99%

Time-reversal imaging for classification of submerged elastic targets via Gibbs sampling and the Relevance Vector Machine

Dasgupta

Carin

2005

The Journal of the Acoustical Society of America

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Time-reversal imaging (TRI) is analogous to matched-field processing, although TRI is typically very wideband and is appropriate for subsequent target classification (in addition to localization). Time-reversal techniques, as applied to acoustic target classification, are highly sensitive to channel mismatch. Hence, it is crucial to estimate the channel parameters before time-reversal imaging is performed. The channel-parameter statistics are estimated here by applying a geoacoustic inversion technique based on Gibbs sampling. The maximum a posteriori (MAP) estimate of the channel parameters are then used to perform time-reversal imaging. Time-reversal implementation requires a fast forward model, implemented here by a normal-mode framework. In addition to imaging, extraction of features from the time-reversed images is explored, with these applied to subsequent target classification. The classification of time-reversed signatures is performed by the relevance vector machine (RVM). The efficacy of the technique is analyzed on simulated in-channel data generated by a free-field finite element method (FEM) code, in conjunction with a channel propagation model, wherein the final classification performance is demonstrated to be relatively insensitive to the associated channel parameters. The underlying theory of Gibbs sampling and TRI are presented along with the feature extraction and target classification via the RVM.

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“…Wiggins' technique can be recast using non-Gaussianity as the statistical feature of the multipath function that is reduced (i.e., made more Gaussian) by the process of convolution. Maximization of the V-norm leads to an iterative technique that has been shown to be quite sensitive to noise [8].…”

Section: Vw-i>v I>7mentioning

confidence: 99%

Blind Deconvolution to Improve Classification of Transient Source Signals in Multipath

Pflug¹,

Smith²,

Broadhead³

2000

Self Cite

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Use of higher order statistics in source signature estimation

Cited by 21 publications

References 13 publications

Determining Success Criteria and Success Factors for International Construction Projects for Malaysian Contractors

Determining Success Criteria and Success Factors for International Construction Projects for Malaysian Contractors

Time-reversal imaging for classification of submerged elastic targets via Gibbs sampling and the Relevance Vector Machine

Blind Deconvolution to Improve Classification of Transient Source Signals in Multipath

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