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» Signal Processing in Large Systems: a New Paradigm
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ESTIMEDIA
2006
Springer
13 years 11 months ago
A Communication Interface for Multiprocessor Signal Processing Systems
Parallelization of embedded software is often desirable for power/performance-related considerations for computation-intensive applications that frequently occur in the signal-pro...
Sankalita Saha, Shuvra S. Bhattacharyya, Wayne Wol...
TSMC
1998
91views more  TSMC 1998»
13 years 7 months ago
Toward the border between neural and Markovian paradigms
— A new tendency in the design of modern signal processing methods is the creation of hybrid algorithms. This paper gives an overview of different signal processing algorithms si...
Piotr Wilinski, Basel Solaiman, A. Hillion, W. Cza...
ICASSP
2008
IEEE
14 years 2 months ago
Encoding large array signals into a 3D sound field representation for selective listening point audio based on blind source sepa
A sound eld reproduction method which uses blind source separation and head-related transfer function is proposed. In the proposed system, multichannel acoustic signals captured a...
Kenta Niwa, Takanori Nishino, Kazuya Takeda
TSE
2002
122views more  TSE 2002»
13 years 7 months ago
Virtual Benchmarking and Model Continuity in Prototyping Embedded Multiprocessor Signal Processing Systems
The complexity of hardware/software codesign of embedded real-time signal processing systems can be reduced by rapid system prototyping (RSP). However, existing RSP frameworks do n...
Randall S. Janka, Linda M. Wills, Lewis B. Baumsta...
IPPS
1998
IEEE
14 years 3 hour ago
ScalParC: A New Scalable and Efficient Parallel Classification Algorithm for Mining Large Datasets
In this paper, we present ScalParC (Scalable Parallel Classifier), a new parallel formulation of a decision tree based classification process. Like other state-of-the-art decision...
Mahesh V. Joshi, George Karypis, Vipin Kumar