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» Learning to Generate Fast Signal Processing Implementations
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IPPS
2007
IEEE
14 years 4 months ago
Optimizing the Fast Fourier Transform on a Multi-core Architecture
The rapid revolution in microprocessor chip architecture due to multicore technology is presenting unprecedented challenges to the application developers as well as system softwar...
Long Chen, Ziang Hu, Junmin Lin, Guang R. Gao
IJHIS
2006
94views more  IJHIS 2006»
13 years 10 months ago
A new fine-grained evolutionary algorithm based on cellular learning automata
In this paper, a new evolutionary computing model, called CLA-EC, is proposed. This model is a combination of a model called cellular learning automata (CLA) and the evolutionary ...
Reza Rastegar, Mohammad Reza Meybodi, Arash Hariri
ICIP
2007
IEEE
14 years 4 months ago
Software Pipelines Design for Variable Block-Size Motion Estimation with Large Search Range
This paper presents some techniques for efficient motion estimation (ME) implementation on fixed-point digital signal processor (DSP) for high resolution video coding. First, chal...
Zhigang Yang, Wen Gao, Yan Liu, Debin Zhao
ICML
2009
IEEE
14 years 10 months ago
Bandit-based optimization on graphs with application to library performance tuning
The problem of choosing fast implementations for a class of recursive algorithms such as the fast Fourier transforms can be formulated as an optimization problem over the language...
Arpad Rimmel, Frédéric de Mesmay, Ma...
ICASSP
2009
IEEE
14 years 4 months ago
Data-driven lexicon expansion for Mandarin broadcast news and conversation speech recognition
We present a data-driven framework for expanding the lexicon to improve Mandarin broadcast news and conversation speech recognition. The lexicon expansion includes the generation ...
Xin Lei, Wen Wang, Stolcke Stolcke