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» Selection in the Presence of Noise
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NIPS
2001
14 years 11 months ago
Sequential Noise Compensation by Sequential Monte Carlo Method
We present a sequential Monte Carlo method applied to additive noise compensation for robust speech recognition in time-varying noise. The method generates a set of samples accord...
K. Yao, S. Nakamura
ISCAS
1999
IEEE
116views Hardware» more  ISCAS 1999»
15 years 2 months ago
Analysis of noise in higher-order translinear filters
Noise analysis of higher-order translinear filters cannot be established through straight-forward extension of analysis techniques for first-order TL filters, due to the presence n...
Michiel H. L. Kouwenhoven, J. Mulder, Wouter A. Se...
MICCAI
2003
Springer
15 years 10 months ago
Exploratory Identification of Cardiac Noise in fMRI Images
A fast exploratory framework for extracting cardiac noise signals contained in rest-case fMRI images is presented. Highly autocorrelated, independent components of the input time ...
Lilla Zöllei, Lawrence P. Panych, W. Eric L. ...
ICIP
2007
IEEE
14 years 9 months ago
A Wavelet-Based Noise-Aware Method for Fusing Noisy Imagery
Fusion of images in the presence of noise is a challenging problem. Conventional fusion methods focus on aggregating prominent image features, which usually result in noise enhanc...
Xiaohui Yuan, Bill P. Buckles
TCOM
2008
170views more  TCOM 2008»
14 years 9 months ago
Analysis and comparison of several simple impulsive noise mitigation schemes for OFDM receivers
A simple method of improving OFDM (orthogonal frequency division multiplexing) receiver performance in an impulsive noise environment is to precede a conventional OFDM demodulator...
S. V. Zhidkov