ICASSP
2009
IEEE
14 years 6 months ago
2009
IEEE
In this paper, we present a new algorithm of snakes with geometric prior. A method of shape alignment using Fourier coefficients is introduced to estimate the Euclidean transform...
ICASSP
2009
IEEE
14 years 6 months ago
2009
IEEE
We propose a convex optimization method for maximum likelihood estimation of autoregressive models, subject to conditional independence constraints. This problem is an extension t...
ICASSP
2009
IEEE
14 years 6 months ago
2009
IEEE
The novel field of fluid lens cameras introduces unique image processing challenges. Intended for surgical applications, these fluid optics systems have improved miniaturizatio...
ICASSP
2009
IEEE
14 years 6 months ago
2009
IEEE
In this paper, a data-driven extension of the variational algorithm is proposed. Based on a few selected sensors, target tracking is performed distributively without any informati...
ICASSP
2009
IEEE
14 years 6 months ago
2009
IEEE
The estimation of the impulse response (IR) of a propagation channel is necessary for a large number of acoustic applications: underwater communication, detection and localization...
ICASSP
2009
IEEE
14 years 6 months ago
2009
IEEE
Nonlinear acoustic echo cancellers (NLAEC) are becoming increasingly important in hands-free applications. However, in some situations, an NLAEC is inferior to a linear AEC, espec...
ICASSP
2009
IEEE
14 years 6 months ago
2009
IEEE
This paper presents a blind subspace-based tracking scheme for precoded MIMO-OFDM systems over rapidly time-varying wireless channels. Subspace-based tracking is normally consider...
ICASSP
2009
IEEE
14 years 6 months ago
2009
IEEE
This paper proposes a method to improve the quality delivered by statistical parametric speech synthesizers. For this, we use a codebook of pitch-synchronous residual frames, so a...
ICASSP
2009
IEEE
14 years 6 months ago
2009
IEEE
When exposed to environmental noise, speakers adjust their speech production to maintain intelligible communication. This phenomenon, called Lombard effect (LE), is known to consi...
ICASSP
2009
IEEE
14 years 6 months ago
2009
IEEE
Recently proposed l1-regularized maximum-likelihood optimization methods for learning sparse Markov networks result into convex problems that can be solved optimally and efficien...