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ICANN
2011
Springer
12 years 9 months ago
Transforming Auto-Encoders
The artificial neural networks that are used to recognize shapes typically use one or more layers of learned feature detectors that produce scalar outputs. By contrast, the comput...
Geoffrey E. Hinton, Alex Krizhevsky, Sida D. Wang
GLOBECOM
2009
IEEE
13 years 10 months ago
Dual Transform Domain Echo Canceller for Discrete Multitone Systems
Abstract--In communication systems where full-duplex transmission is required, digital echo cancellers are employed to cancel echo by means of adaptive filtering. In order to reduc...
Neda Ehtiati, Benoît Champagne

Book
996views
15 years 3 months ago
The Scientist and Engineer's Guide to Digital Signal Processing
"The world of science and engineering is filled with signals: images from remote space probes, voltages generated by the heart and brain, radar and sonar echoes, seismic vibra...
Steve Smith
IEEEICCI
2003
IEEE
13 years 11 months ago
Signal Classification through Multifractal Analysis and Complex Domain Neural Networks
This paper describes a system capable of classifying stochastic, self-affine, nonstationary signals produced by nonlinear systems. The classification and analysis of these signals...
Witold Kinsner, V. Cheung, K. Cannons, J. Pear, T....
VIS
2004
IEEE
187views Visualization» more  VIS 2004»
14 years 7 months ago
Methods for Efficient, High Quality Volume Resampling in the Frequency Domain
Resampling is a frequent task in visualization and medical imaging. It occurs whenever images or volumes are magnified, rotated, translated, or warped. Resampling is also an integ...
Aili Li, Klaus Mueller, Thomas Ernst