Research not for publishing papers, but for fun, for satisfying curiosity, and for revealing the truth.

This blog reports latest progresses in
(1) Signal Processing and Machine Learning for Biomedicine, Neuroimaging, Wearable Healthcare, and Smart-Home
(2) Sparse Signal Recovery and Compressed Sensing of Signals by Exploiting Spatiotemporal Structures
(3) My Works

Friday, March 30, 2012

Literature-ICA/LVA: Special Issue on Latent Variable Analysis and Signal Separation

Signal Processing has a special issue on Latent Variable Analysis and Signal Separation. (Volume 92, Issue 8, Pages 1765-1960 (August 2012)). Now the papers can be downloaded from the website:

Below are the papers:

Consistency and asymptotic normality of FastICA and bootstrap FastICA
Nima Reyhani, Jarkko Ylipaavalniemi, Ricardo Vigário, Erkki Oja

Independent component analysis based on first-order statistics
V. Zarzoso, R. Martín-Clemente, S. Hornillo-Mellado

ICA-based and second-order separability of nonlinear models involving reference signals: General properties and application to quantum bits
Yannick Deville

ICA over finite fields—Separability and algorithms
Harold W. Gutch, Peter Gruber, Arie Yeredor, Fabian J. Theis

Stability of independent vector analysis
Takashi Itahashi, Kiyotoshi Matsuoka

Complex-valued independent vector analysis: Application to multivariate Gaussian model
Matthew Anderson, Xi-Lin Li, Tülay Adalı

Multiple-snapshots BSS with general covariance structures: A partial maximum likelihood approach involving weighted joint diagonalization
Arie Yeredor

Extraction of signals with higher order temporal structure using Correntropy
Eder Santana, Jose C. Principe, Ewaldo Santana, Allan Kardec Barros

Algorithms for probabilistic latent tensor factorization
Y. Kenan Yılmaz, A. Taylan Cemgil

Supervised input space scaling for non-negative matrix factorization
J. Driesen, H. Van hamme

ISI sparse channel estimation based on SL0 and its application in ML sequence-by-sequence equalization
Rad Niazadeh, Sina Hamidi Ghalehjegh, Massoud Babaie-Zadeh, Christian Jutten

A tractable framework for estimating and combining spectral source models for audio source separation
Simon Arberet, Alexey Ozerov, Frédéric Bimbot, Rémi Gribonval

Regulatory component analysis: A semi-blind extraction approach to infer gene regulatory networks with imperfect biological knowledge
Chen Wang, Jianhua Xuan, Ie-Ming Shih, Robert Clarke, Yue Wang

Use of bimodal coherence to resolve the permutation problem in convolutive BSS
Qingju Liu, Wenwu Wang, Philip Jackson

The signal separation evaluation campaign (2007–2010): Achievements and remaining challenges
Emmanuel Vincent, Shoko Araki, Fabian Theis, Guido Nolte, Pau Bofill, Hiroshi Sawada, Alexey Ozerov, Vikrham Gowreesunker, Dominik Lutter, Ngoc Q.K. Duong

Informed source separation through spectrogram coding and data embedding
Antoine Liutkus, Jonathan Pinel, Roland Badeau, Laurent Girin, Gaël Richard

Multi-source TDOA estimation in reverberant audio using angular spectra and clustering
Charles Blandin, Alexey Ozerov, Emmanuel Vincent

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