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APPINF
2003
15 years 8 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
16 years 1 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...
JMLR
2010
105views more  JMLR 2010»
15 years 1 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 10 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
16 years 1 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