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ISBI
2008
IEEE
14 years 8 months ago
Estimation of cortical multivariate autoregressive models for EEG/MEG using an expectation-maximization algorithm
A new method for estimating multivariate autoregressive (MVAR) models of cortical connectivity from surface EEG or MEG measurements is presented. Conventional approaches to this p...
Bing Leung, Patrick Cheung, Barry D. Van Veen
ICASSP
2007
IEEE
14 years 1 months ago
Fundamental Detection and Estimation Limits in Spike Sorting
Spike sorting refers to the detection and classification of electric potentials (spikes) from multi-neuron recordings, a difficult but essential pre-processing step before neura...
Mona A. Sheikh, Don H. Johnson
TCOM
2008
82views more  TCOM 2008»
13 years 7 months ago
Detecting the number of signals in wireless DS-CDMA networks
In this paper, a new information theoretic algorithm is proposed for signal enumeration in DS-CDMA networks. The approach is based on the predictive description length (PDL) of the...
Shahrokh Valaee, Shahram Shahbazpanahi
ICASSP
2010
IEEE
13 years 7 months ago
Automatic detection of well sampled images via a new ringing measure
According to Shannon Sampling Theory, Fourier interpolation is the optimal way to reach subpixel accuracy from a properly-sampled digital image. However, for most images this inte...
Gwendoline Blanchet, Lionel Moisan, Bernard Roug&e...
JCSS
2007
116views more  JCSS 2007»
13 years 7 months ago
The most probable annotation problem in HMMs and its application to bioinformatics
Hidden Markov models (HMMs) are often used for biological sequence annotation. Each sequence feature is represented by a collection of states with the same label. In annotating a ...
Brona Brejová, Daniel G. Brown 0001, Tom&aa...