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ICASSP
2011
IEEE
14 years 10 months ago
Deconvolution of neuronal signal from hemodynamic response
In this paper we describe a deconvolution technique for obtaining an approximation of the neuronal signal from an observed hemodynamic response in fMRI data. Our approach, based o...
Martin Havlicek, Jirí Jan, Milan Brazdil, V...
ICASSP
2011
IEEE
14 years 10 months ago
Detection of sinusoidal signals in noise by probabilistic modelling of the spectral magnitude shape and phase continuity
This paper presents a method for detection of sinusoidal signals corrupted by an additive noise in the short-time Fourier domain. The proposed method is based on probabilistic mod...
Peter Jancovic, Münevver Köküer
ICIP
1995
IEEE
16 years 8 months ago
Variable resolution Markov modelling of signal data for image compression
Traditionally, Markov models have not been successfully used for compression of signal data other than binary image data. Due to the fact that exact substring matches in non-binar...
Mark Trumbo, Jacques Vaisey
ICASSP
2009
IEEE
16 years 1 months ago
On the phonetic information in ultrasonic microphone signals
We study the phonetic information in the signal from an ultrasonic “microphone”, a device that emits an ultrasonic wave toward a speaker and receives the reflected, Doppler-s...
Karen Livescu, Bo Zhu, James R. Glass
ICASSP
2009
IEEE
16 years 1 months ago
Sparse decomposition of two dimensional signals
In this paper, we consider sparse decomposition (SD) of twodimensional (2D) signals on overcomplete dictionaries with separable atoms. Although, this problem can be solved by conv...
Aboozar Ghafari, Massoud Babaie-Zadeh, Christian J...