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ICRA
2009
IEEE
195views Robotics» more  ICRA 2009»
15 years 4 months ago
Passive event-based extrapolation for lossy haptic data compression in bilateral presence systems
— A new lossy compression method is proposed for haptic (force, velocity) data as exchanged in bilateral telepresence systems. The method is based on the passive extrapolative co...
Philipp Kremer, Martin Kuschel, Carsten Preusche, ...
CORR
2008
Springer
178views Education» more  CORR 2008»
14 years 9 months ago
Model-Based Compressive Sensing
Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for acquisition of sparse or compressible signals that can be well approximated by just K N elements from a...
Richard G. Baraniuk, Volkan Cevher, Marco F. Duart...
JDCTA
2010
188views more  JDCTA 2010»
14 years 4 months ago
Compressive Sensing Signal Detection Algorithm Based on Location Information of Sparse Coefficients
Without reconstructing the signal themselves, signal detection could be solved by detection algorithm, which directly processes sampling value obtained from compressive sensing si...
Bing Liu, Ping Fu, Shengwei Meng, Lunping Guo
ICIP
2007
IEEE
15 years 1 months ago
Space-Frequency Quantization using Directionlets
In our previous work [1], we proposed a construction of critically sampled perfect reconstruction transforms with directional vanishing moments (DVMs) imposed in the corresponding...
Vladan Velisavljevic, Baltasar Beferull-Lozano, Ma...
TVLSI
2010
14 years 4 months ago
Test Data Compression Using Efficient Bitmask and Dictionary Selection Methods
Abstract--Higher circuit densities in system-on-chip (SOC) designs have led to drastic increase in test data volume. Larger test data size demands not only higher memory requiremen...
Kanad Basu, Prabhat Mishra