24 search results - page 2 / 5 » Problem dimensionality reduction in design of optimal IIR fi... |
SIAMSC
2008
13 years 5 months ago
2008
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
WEBI
2010
Springer
13 years 3 months ago
2010
Springer
High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...
ICASSP
2009
IEEE
14 years 11 days ago
2009
IEEE
This paper describes a method for designing oversampled DFT filter banks (FB) optimized for subband acoustic echo cancellation (AEC). For this application, the design requirements...
ISQED
2007
IEEE
13 years 12 months ago
2007
IEEE
This paper studies multi-dimensional optimization at both circuit and micro-architecture levels. By formulating and solving the optimization problem with conflicting design objec...
ENGL
2007
13 years 5 months ago
2007
— Most research in Knowledge Mining deal with the basic models like clustering, classification, regression, association rule mining and so on. In the process of quest for knowled...