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» Learning to Generate Fast Signal Processing Implementations
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CODES
2007
IEEE
14 years 2 months ago
A low power VLIW processor generation method by means of extracting non-redundant activation conditions
This paper proposes a low power VLIW processor generation method by automatically extracting non-redundant activation conditions of pipeline registers for clock gating. It is impo...
Hirofumi Iwato, Keishi Sakanushi, Yoshinori Takeuc...
IDEAL
2004
Springer
14 years 1 months ago
Summarizing Time Series: Learning Patterns in 'Volatile' Series
Most financial time series processes are nonstationary and their frequency characteristics are time-dependant. In this paper we present a time series summarization and prediction ...
Saif Ahmad, Tugba Taskaya-Temizel, Khurshid Ahmad
ICASSP
2011
IEEE
12 years 11 months ago
Rapid speaker adaptation with speaker adaptive training and non-negative matrix factorization
In this paper, we describe a novel speaker adaptation algorithm based on Gaussian mixture weight adaptation. A small number of latent speaker vectors are estimated with non-negati...
Xueru Zhang, Kris Demuynck, Hugo Van hamme
PADL
2005
Springer
14 years 1 months ago
Functional Framework for Sound Synthesis
We present an application of functional programming in the domain of sound generation and processing. We use the lazy language Clean to define purely functional stream generators,...
Jerzy Karczmarczuk
FCCM
1999
IEEE
210views VLSI» more  FCCM 1999»
13 years 12 months ago
Algorithm Analysis and Mapping Environment for Adaptive Computing Systems: Further Results
Abstract We are developing an integrated algorithm analysis and mapping environment particularly tailored for signal processing applications on Adaptive Computing Systems ACS. Our ...
Eric K. Pauer, Paul D. Fiore, John M. Smith