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» Estimation of systems with statistically-constrained inputs
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ICNSC
2008
IEEE
14 years 4 months ago
Robust Variance Constrained Filter Design for Systems with Non-Gaussian Noises
In this paper, a variance constrained filtering problem is considered for systems with both non-Gaussian noises and polytopic uncertainty. A novel filter is developed to estimate t...
Fuwen Yang, Yongmin Li, Xiaohui Liu
ICVGIP
2004
13 years 11 months ago
Use of Linear Diffusion in Depth Estimation Based on Defocus Cue
Diffusion has been used extensively in computer vision. Most common applications of diffusion have been in low level vision problems like segmentation and edge detection. In this ...
Vinay P. Namboodiri, Subhasis Chaudhuri
SPEECH
2002
113views more  SPEECH 2002»
13 years 9 months ago
Estimation of the signal-to-noise ratio with amplitude modulation spectrograms
An algorithm is proposed which automatically estimates the local signalto-noise ratio (SNR) between speech and noise. The feature extraction stage of the algorithm is motivated by...
Jürgen Tchorz, Birger Kollmeier
ICASSP
2011
IEEE
13 years 1 months ago
Estimating Sparse MIMO channels having Common Support
We propose an algorithm (SCS-FRI) to estimate multipath channels with Sparse Common Support (SCS) based on Finite Rate of Innovation (FRI) sampling. In this setup, theoretical low...
Yann Barbotin, Ali Hormati, Sundeep Rangan, Martin...
IDA
2008
Springer
13 years 9 months ago
Estimating the depth of anesthesia using fuzzy soft computation applied to EEG features
Estimating the depth of anesthesia (DOA) is still a challenging area in anesthesia research. The objective of this study was to design a fuzzy rule based system which integrates el...
V. Esmaeili, Amin Assareh, M. B. Shamsollahi, Moha...