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» Parallel signal processing with S-Net
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VLSISP
2008
147views more  VLSISP 2008»
14 years 10 months ago
Data Reuse Exploration for Low Power Motion Estimation Architecture Design in H.264 Encoder
Data access usually leads to more than 50% of the power cost in a modern signal processing system. To realize a low-power design, how to reduce the memory access power is a critica...
Yu-Han Chen, Tung-Chien Chen, Chuan-Yung Tsai, Sun...
84
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ICASSP
2009
IEEE
15 years 6 months ago
Incorporating monolingual corpora into bilingual latent semantic analysis for crosslingual LM adaptation
The major limitation in bilingual latent semantic analysis (bLSA) is the requirement of parallel training corpora. Motivated by semi-supervised learning, we propose a clusterbased...
Yik-Cheung Tam, Tanja Schultz
SASP
2009
IEEE
170views Hardware» more  SASP 2009»
15 years 6 months ago
Parade: A versatile parallel architecture for accelerating pulse train clustering
— In this paper, we present Parade, a novel and flexible parallel architecture for the deinterleaving of combined pulsetrains. This is a commonly performed task in various areas ...
Amin Ansari, Dan Zhang, Scott A. Mahlke
101
Voted
ICASSP
2009
IEEE
15 years 3 months ago
Generating high performance pruned FFT implementations
We derive a recursive general-radix pruned Cooley-Tukey fast Fourier transform (FFT) algorithm in Kronecker product notation. The algorithm is compatible with vectorization and pa...
Franz Franchetti, Markus Püschel
ICASSP
2010
IEEE
14 years 12 months ago
Non-parallel training for many-to-many eigenvoice conversion
This paper presents a novel training method of an eigenvoice Gaussian mixture model (EV-GMM) effectively using non-parallel data sets for many-to-many eigenvoice conversion, which...
Yamato Ohtani, Tomoki Toda, Hiroshi Saruwatari, Ki...