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APPINF
2003
15 years 6 months ago
Seismic Signal Analysis using Correlation Dimension
Multifractal analysis is a new and promising approach to analyze and characterize non-stationary signals such as seismic signals, electrocardiograms, heart rate variability signal...
Soundararajan Ezekiel, Matthew J. Barrick, Matthew...
ICASSP
2008
IEEE
15 years 11 months ago
Contextually adaptive signal representation using conditional principal component analysis
The conventional method of generating a basis that is optimally adapted (in MSE) for representation of an ensemble of signals is Principal Component Analysis (PCA). A more ambitio...
Rosa M. Figueras i Ventura, Umesh Rajashekar, Zhou...
139
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JMLR
2010
105views more  JMLR 2010»
14 years 11 months ago
Evaluation of Signaling Cascades Based on the Weights from Microarray and ChIP-seq Data
In this study, we combined the ChIP-seq and the transcriptome data and integrated these data into signaling cascades. Integration was realized through a framework based on data- a...
Zerrin Isik, Volkan Atalay, Rengül Çet...
ICASSP
2011
IEEE
14 years 8 months ago
A novel analytical approach to orthogonal bases extraction from AM-FM signals
This paper presents a new method for extracting orthogonal bases from AM-FM signals. Since AM-FM signals are non-stationary, appropriate basis functions are sought provided that i...
Mohammadali Sebghati, Hamidreza Amindavar
ICASSP
2009
IEEE
15 years 11 months ago
Compressive sensing for sparsely excited speech signals
Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse respo...
Thippur V. Sreenivas, W. Bastiaan Kleijn