نتایج جستجو برای: convolutive voltammetry

تعداد نتایج: 7879  

1998
A. Mansour A. Kardec Barros N. Ohnishi

In this paper, a new subspace adaptive algorithm, for blind separation of convolutive mixture, is proposed. This algorithm can be decomposed into two steps: At rst, the convolutive mixture will be reduced to an instantaneous mixture (memoryless mixture), using a second-order statistics criterion based on subspace approach. The second step consists on the separation of the residual instantaneous...

2000
Athanasios Koutras Evangelos Dermatas George K. Kokkinakis

In this paper we present a new on-line Blind Signal Separation method capable to separate convolutive speech signals of moving speakers in highly reverberant rooms. The separation network used is a recurrent network which performs separation of convolutive speech mixtures in the time domain, without any prior knowledge of the propagation media, based on the Maximum Likelihood Estimation (MLE) p...

2007
Johan THOMAS Yannick DEVILLE Shahram HOSSEINI

This paper presents new blind separation methods for Moving Average (MA) convolutive mixtures of independent MA processes. They consist of time-domain extensions of the FastICA algorithms developed by Hyvärinen and Oja for instantaneous mixtures. They perform a convolutive sphering in order to use parameter-free fast fixed-point algorithms associated with kurtotic or negentropic nongaussianity ...

Journal: :IEICE Transactions 2005
Shoji Makino Hiroshi Sawada Ryo Mukai Shoko Araki

This paper overviews a total solution for frequencydomain blind source separation (BSS) of convolutive mixtures of audio signals, especially speech. Frequency-domain BSS performs independent component analysis (ICA) in each frequency bin, and this is more efficient than time-domain BSS. We describe a sophisticated total solution for frequency-domain BSS, including permutation, scaling, circular...

2014
Jamel Hattay Samir Belaid Wady Naanaa

This paper describes a new multilevel decomposition method for the separation of convolutive image mixtures. The proposed method uses an Adaptive Quincunx Lifting Scheme (AQLS) based on wavelet decomposition to preprocess the input data, followed by a Non-Negative Matrix Factorization whose role is to unmix the decomposed images. The unmixed images are, thereafter, reconstructed using the inver...

Journal: :Analytica chimica acta 2016
Holly B C Pearson Josep Galceran Encarna Companys Charlotte Braungardt Paul Worsfold Jaume Puy Sean Comber

Zinc (Zn) has been classified as a "Specific Pollutant" under Annex VIII of the EU Water Framework Directive by two thirds of the EU member states. As a result, the UK Environmental Quality Standard (EQS) for Transitional and Coastal (TrAC) Waters has been reduced from 612 nM to 121 nM total dissolved Zn. It is widely accepted that the free metal ion ([Zn(2+)]) is the most bioavailable fraction...

2016
Nathan T. Rodeberg Justin A. Johnson Elizabeth S. Bucher R. Mark Wightman

The neurotransmitter dopamine is heavily implicated in intracranial self-stimulation (ICSS). Many drugs of abuse that affect ICSS behavior target the dopaminergic system, and optogenetic activation of dopamine neurons is sufficient to support self-stimulation. However, the patterns of phasic dopamine release during ICSS remain unclear. Early ICSS studies using fast-scan cyclic voltammetry (FSCV...

Journal: :Journal of Electroanalytical Chemistry 2016

Journal: :The Annals of Mathematical Statistics 1959

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