ICASSP
2010
IEEE
13 years 11 months ago
2010
IEEE
In this paper a novel approach for semi-supervised hyperspectral unmixing is presented. First, it is shown that this problem inherently accepts a sparse solution. Then, based on t...
ICASSP
2010
IEEE
13 years 11 months ago
2010
IEEE
In this paper, we propose a novel double-talk detection (DTD) technique based on a soft decision in the frequency domain. The proposed method provides an efficient procedure to d...
ICASSP
2010
IEEE
13 years 11 months ago
2010
IEEE
When building a classifier from clean training data for a particular test environment, knowledge about the environmental noise and channel should be taken into account. We propos...
ICASSP
2010
IEEE
13 years 11 months ago
2010
IEEE
A dense antenna array architecture is developed to ease the circuit requirements of the radio frequency (RF) front-end in beamforming applications. In the architecture, antennas a...
ICASSP
2010
IEEE
13 years 11 months ago
2010
IEEE
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
ICASSP
2010
IEEE
13 years 11 months ago
2010
IEEE
Abstract—Channel shortening filters have been used in acoustics to reduce reverberation, in error control decoding to reduce complexity, and in communication systems to reduce i...
ICASSP
2010
IEEE
13 years 11 months ago
2010
IEEE
We propose a novel, robust estimator for the probability of speech presence at each time-frequency point in the short-time discrete Fourier domain. While existing estimators perfo...
ICASSP
2010
IEEE
13 years 11 months ago
2010
IEEE
In this paper, we examine the problem of learning from noisecontaminated data in high-dimensional space. A new learning approach based on projections onto multi-dimensional ellips...
ICASSP
2010
IEEE
13 years 11 months ago
2010
IEEE
In the last decade various time- and frequency-domain algorithms were derived to blindly identify acoustic systems. One of these algorithms is the multichannel Newton (MCN) algori...
ICASSP
2010
IEEE
13 years 11 months ago
2010
IEEE
We consider the weight design problem for the consensus algorithm under a finite time horizon. We assume that the underlying network is random where the links fail at each iterat...