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» Structure-Preserving Model Reduction
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ICASSP
2009
IEEE
14 years 2 months ago
On the use of Bayesian modeling for predicting noise reduction performance
In speech enhancement applications, a validated metric of noise reduction performance is vital in the relative ranking of noise reduction algorithms and in enhancing the performan...
Nazanin Pourmand, David Suelzle, Vijay Parsa, Yi H...
ESANN
2006
13 years 8 months ago
Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images
Spectral classification, segmentation and data reduction are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation approach which ...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...
DAC
2008
ACM
13 years 9 months ago
DeMOR: decentralized model order reduction of linear networks with massive ports
Model order reduction is an efficient technique to reduce the system complexity while producing a good approximation of the input-output behavior. However, the efficiency of reduc...
Boyuan Yan, Lingfei Zhou, Sheldon X.-D. Tan, Jie C...
PARA
2004
Springer
14 years 22 days ago
Parallel Algorithms for Balanced Truncation Model Reduction of Sparse Systems
We describe the parallelization of an efficient algorithm for balanced truncation that allows to reduce models with state-space dimension up to O(105 ). The major computational tas...
José M. Badía, Peter Benner, Rafael ...
DATE
2002
IEEE
87views Hardware» more  DATE 2002»
14 years 10 days ago
Model Reduction in the Time-Domain Using Laguerre Polynomials and Krylov Methods
We present a new passive model reduction algorithm based on the Laguerre expansion of the time response of interconnect networks. We derive expressions for the Laguerre coefficie...
Yiran Chen, Venkataramanan Balakrishnan, Cheng-Kok...