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» Learning to Generate Fast Signal Processing Implementations
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FPL
2008
Springer
154views Hardware» more  FPL 2008»
13 years 7 months ago
Numerical function generators using bilinear interpolation
Two-variable numerical functions are widely used in various applications, such as computer graphics and digital signal processing. Fast and compact hardware implementations are re...
Shinobu Nagayama, Tsutomu Sasao, Jon T. Butler
APCCAS
2006
IEEE
245views Hardware» more  APCCAS 2006»
13 years 11 months ago
Digital Audio Broadcasting System Modeling and Hardware Implementation
— DAB is a growing communication technology for digital audio broadcasting and demands higher concentration on flexible and cost optimum implementations for use in new mobile ele...
Nariman Moezzi Madani, Hamed Holisaz, Seid Mehdi F...
ISCAS
2003
IEEE
91views Hardware» more  ISCAS 2003»
13 years 11 months ago
Real-time implementation of H.263+ using TI TMS320c6201 digital signal processor
In this paper, we use a digital signal processor (DSP) to implement a real-time H.263+ codec. We use fast algorithms to reduce the codec computational complexity. Furthermore, the...
Timothy K. Shih, Chia-Yang Tsai, Hsueh-Ming Hang
CEC
2008
IEEE
14 years 4 days ago
A fast high quality pseudo random number generator for graphics processing units
—Limited numerical precision of nVidia GeForce 8800 GTX and other GPUs requires careful implementation of PRNGs. The Park-Miller PRNG is programmed using G80’s native Value4f ï...
William B. Langdon
ICASSP
2010
IEEE
13 years 3 months ago
Efficient online learning with individual learning-rates for phoneme sequence recognition
We describe a fast and efficient online algorithm for phoneme sequence speech recognition. Our method is using a discriminative training to update the model parameters one utteran...
Koby Crammer