Signal processing with higher-order spectra

Nikias, C.L.; Mendel, Jerry M.

doi:10.1109/79.221324

Cited by 834 publications

(431 citation statements)

References 80 publications

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“…The r-th moment o f x is de ned as Efx r g 88,109 . For simplicity, x was here assumed to have zero mean, in which case the centered moments, or moments about the mean, equal the non-centered moments, or moments about zero .…”

Section: A Definition Of Cumulantsmentioning

confidence: 99%

Topographic Independent Component Analysis

Hyvärinen

2015

Encyclopedia of Computational Neuroscience

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A common problem encountered in such disciplines as statistics, data analysis, signal processing, and neural network research, is nding a suitable representation of multivariate data. For computational and conceptual simplicity, such a representation is often sought as a linear transformation of the original data. Well-known linear transformation methods include, for example, principal component analysis, factor analysis, and projection pursuit. A recently developed linear transformation method is independent component analysis ICA , in which the desired representation is the one that minimizes the statistical dependence of the components of the representation. Such a representation seems to capture the essential structure of the data in many applications. In this paper, we survey the existing theory and methods for ICA.

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Section: A Definition Of Cumulantsmentioning

confidence: 99%

Topographic Independent Component Analysis

Hyvärinen

2015

Encyclopedia of Computational Neuroscience

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“…Alguns trabalhos recentes têm mostrado que o uso de Estatísticas de Ordem Superior (EOS) para lidar com a análise de transientes de dentro de eventos de qualidade de energiaé uma abordagem promissora [8,9]. Uma vantagem de usar EOSé a sua robustez ao ruído gaussiano [4].…”

Section: Características Extraídasunclassified

Uma Estrutura em Árvore para Classificação de Múltiplos Distúrbios Elétricos

Barbosa¹,

Ferreira²

2016

Anais Do 10. Congresso Brasileiro De Inteligência Computacional

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“…Features, related to the third order spectra, i.e. bispectra, can be used to extract information for automated diagnosis [53,54].…”

Section: Higher Order Spectra (Hos)mentioning

confidence: 99%

Application of infrared thermography in computer aided diagnosis

Faust

Acharya

et al. 2014

Infrared Physics & Technology

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The invention of thermography, in the 1950s, posed a formidable problem to the research community: What is the relationship between disease and heat radiation captured with Infrared (IR) cameras? The research community responded with a continuous effort to find this crucial relationship. This effort was aided by advances in processing techniques, improved sensitivity and spatial resolution of thermal sensors. However, despite this progress fundamental issues with this imaging modality still remain. The main problem is that the link between disease and heat radiation is complex and in many cases even nonlinear. Furthermore, the change in heat radiation as well as the change in radiation pattern, which indicate disease, is minute. On a technical level, this poses high requirements on image capturing and processing. On a more abstract level, these problems lead to inter-observer variability and on an even more abstract level they lead to a lack of trust in this imaging modality. In this review, we adopt the position that these problems can only be solved through a strict application of scientific principles and objective performance assessment. Computing machinery is inherently objective; this helps us to apply scientific principles in a transparent way and to assess the performance results. As a consequence, we aim to promote thermography based ComputerAided Diagnosis (CAD) systems. Another benefit of CAD systems comes from the fact that the diagnostic accuracy is linked to the capability of the computing machinery and, in general, computers become ever more potent. We predict that a pervasive application of computers and networking technology in medicine will help us to overcome the shortcomings of any single imaging modality and this will pave the way for integrated health care systems which maximize the quality of patient care.

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Signal processing with higher-order spectra

Cited by 834 publications

References 80 publications

Topographic Independent Component Analysis

Topographic Independent Component Analysis

Uma Estrutura em Árvore para Classificação de Múltiplos Distúrbios Elétricos

Application of infrared thermography in computer aided diagnosis

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