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» Exploring fMRI data for periodic signal components
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CSDA
2006
191views more  CSDA 2006»
13 years 7 months ago
Forecasting daily time series using periodic unobserved components time series models
We explore a periodic analysis in the context of unobserved components time series models that decompose time series into components of interest such as trend, seasonal and irregu...
Siem Jan Koopman, Marius Ooms
BMCBI
2007
144views more  BMCBI 2007»
13 years 7 months ago
Spectral estimation in unevenly sampled space of periodically expressed microarray time series data
Background: Periodogram analysis of time-series is widespread in biology. A new challenge for analyzing the microarray time series data is to identify genes that are periodically ...
Alan Wee-Chung Liew, Jun Xian, Shuanhu Wu, David K...
ICANNGA
2007
Springer
191views Algorithms» more  ICANNGA 2007»
14 years 1 months ago
Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints
In this paper we present a new method of 3D non-negative tensor factorization (NTF) that is robust in the presence of noise and has many potential applications, including multi-way...
Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Rob...
MICCAI
2009
Springer
14 years 8 months ago
Interventional 4-D Motion Estimation and Reconstruction of Cardiac Vasculature without Motion Periodicity Assumption
Abstract. Anatomical and functional information of cardiac vasculature is a key component of future developments in the field of interventional cardiology. With the technology of C...
Christopher Rohkohl, Günter Lauritsch, Marcus...
ICASSP
2011
IEEE
12 years 11 months ago
Speaker characterization using spectral subband energy ratio based on Harmonic plus Noise Model
This paper proposes a feature extraction for speaker characterization by exploring the relationship between the two distinct components of the speech signal, one is harmonics acco...
Yanhua Long, Zhi-Jie Yan, Frank K. Soong, Li-Rong ...