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» Learning to Construct Fast Signal Processing Implementations
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ICASSP
2010
IEEE
14 years 12 months ago
Bandwidth-intensive FPGA architecture for multi-dimensional DFT
Multi-dimensional (MD) Discrete Fourier Transform (DFT) is a key kernel algorithm in many signal processing algorithms, including radar data processing and medical imaging. Althou...
Chi-Li Yu, Chaitali Chakrabarti, Sungho Park, Vija...
ICASSP
2011
IEEE
14 years 5 months ago
A cochlear neuron based robust feature for speaker recognition
In this paper, a robust feature for text-independent speaker recognition is proposed, which simulate the response mode of cochlear neurons in processing acoustic signal. The featu...
Datao You, Tao Jiang, Jiqing Han, Tieran Zheng
ICASSP
2011
IEEE
14 years 5 months ago
A wavenumber-fitting extrapolation method for FFT-based near-field acoustic holography using microphone array
Near-field acoustic holography (NAH) is an important acoustic visualization technique which can be implemented efficiently through the fast Fourier transform (FFT). However, whe...
Benxu Liu, Bremananth Ramachandran, Andy W. H. Kho...
ECML
2006
Springer
15 years 3 months ago
Efficient Large Scale Linear Programming Support Vector Machines
This paper presents a decomposition method for efficiently constructing 1-norm Support Vector Machines (SVMs). The decomposition algorithm introduced in this paper possesses many d...
Suvrit Sra
PAMI
2007
118views more  PAMI 2007»
15 years 1 months ago
Learning to Transform Time Series with a Few Examples
We describe a semi-supervised regression algorithm that learns to transform one time series into another time series given examples of the transformation. This algorithm is applie...
Ali Rahimi, Ben Recht, Trevor Darrell