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ICASSP
2011
IEEE
14 years 3 months ago
Non-linear noise compensation for robust speech recognition using Gauss-Newton method
In this paper, we present the Gauss-Newton method as a unified approach to optimizing non-linear noise compensation models, such as vector Taylor series (VTS), data-driven parall...
Yong Zhao, Biing-Hwang Juang
CORR
2006
Springer
145views Education» more  CORR 2006»
14 years 12 months ago
Algebraic Signal Processing Theory
In [1], we presented the algebraic signal processing theory, an axiomatic and general framework for linear signal processing. The basic concept in this theory is the signal model d...
Markus Püschel, José M. F. Moura
MODELS
2010
Springer
14 years 10 months ago
Concern-Based (de)composition of Model-Driven Software Development Processes
An MDSD process is often organised as transformation chain. This can threaten the Separation of Concerns (SoC) principle, because information is replicated in, scattered over, and ...
Jendrik Johannes, Uwe Aßmann
PRL
2010
149views more  PRL 2010»
14 years 6 months ago
Adaptive linear models for regression: Improving prediction when population has changed
The general setting of regression analysis is to identify a relationship between a response variable Y and one or several explanatory variables X by using a learning sample. In a ...
Charles Bouveyron, Julien Jacques
ESEC
1999
Springer
15 years 4 months ago
The CIP Method: Component- and Model-Based Construction of Embedded Systems
CIP is a model-based software development method for embedded systems. The problem of constructing an embedded system is decomposed into a functional and a connection problem. The ...
Hugo Fierz