TASLP
2010
14 years 20 days ago
2010
—The minimum variance distortionless response (MVDR) beamformer, also known as Capon’s beamformer, is widely studied in the area of speech enhancement. The MVDR beamformer can ...
CGA
2005
14 years 2 months ago
2005
A novel Monte Carlo noise reduction operator is proposed in this paper. We apply and extend the standard bilateral filtering method and build a new local adaptive noise reduction k...
TMI
2008
14 years 2 months ago
2008
Abstract-- The projection data measured in computed tomography (CT) and, consequently, the slices reconstructed from these data are noisy. We present a new wavelet based structurep...
TASLP
2008
14 years 2 months ago
2008
Abstract--The problem of noise reduction using multiple microphones has long been an active area of research. Over the past few decades, most efforts have been devoted to beamformi...
TASLP
2008
14 years 2 months ago
2008
Noise reduction, which aims at estimating a clean speech from noisy observations, has attracted a considerable amount of research and engineering attention over the past few decade...
IVC
2006
14 years 2 months ago
2006
This paper considers the optimisation of a nonlinear functional for image segmentation and noise reduction. Equations optimising this functional are derived and employed to detect...
SIGIR
1995
ACM
14 years 5 months ago
1995
ACM
This paper studies noise reduction for computational efficiency improvements in a statistical learning method for text categorization, the Linear Least Squares Fit (LLSF) mapping...
KONVENS
2000
14 years 5 months ago
2000
In this paper we describe a noise reduction preprocessing algorithm for the adaptive multirate (AMR) speech codec of the GSM system. The algorithm is based on spectral weighting a...
ICMCS
2007
IEEE
14 years 6 months ago
2007
IEEE
The high performance of the conventional spatio-temporal image noise reduction filers comes at the cost of high computationally intensity. In this paper, a motion adaptive spatio-...
EWCBR
2004
Springer
14 years 7 months ago
2004
Springer
Because of the volume of spam email and its evolving nature, any deployed Machine Learning-based spam filtering system will need to have procedures for case-base maintenance. Key t...