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» Learning to Generate Fast Signal Processing Implementations
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ICASSP
2008
IEEE
13 years 11 months ago
Systematic generation of FPGA-based FFT implementations
In this paper, we propose a systemic approach for synthesizing field-programmable gate array (FPGA) implementations of fast Fourier transform (FFT) computations. Our approach cons...
Hojin Kee, Newton Petersen, Jacob Kornerup, Shuvra...
ESANN
2008
13 years 6 months ago
Parallel asynchronous neighborhood mechanism for WTM Kohonen network implemented in CMOS technology
In this paper we present an original neighborhood mechanism for WTM self-organizing Kohonen map implemented in CMOS 0.18 m process. Proposed mechanism is an asynchronous circuit an...
Marta Kolasa, Rafal Dlugosz
ICASSP
2008
IEEE
13 years 11 months ago
Bayesian extensions to non-negative matrix factorisation for audio signal modelling
We describe the underlying probabilistic generative signal model of non-negative matrix factorisation (NMF) and propose a realistic conjugate priors on the matrices to be estimate...
Tuomas Virtanen, Ali Taylan Cemgil, Simon J. Godsi...
ICASSP
2011
IEEE
12 years 8 months ago
Versatile and portable DSP platform for learning embedded signal processing
This paper presents a versatile and portable digital signal processing (DSP) platform that is highly suitable for learning embedded signal processing anywhere and anytime. This DS...
Woon-Seng Gan, Abhishek Seth, Sen M. Kuo
SAB
2010
Springer
226views Optimization» more  SAB 2010»
13 years 3 months ago
Distributed Online Learning of Central Pattern Generators in Modular Robots
Abstract. In this paper we study distributed online learning of locomotion gaits for modular robots. The learning is based on a stochastic approximation method, SPSA, which optimiz...
David Johan Christensen, Alexander Spröwitz, ...