Results 271 to 280 of about 868,109 (319)
Corrigendum to "Spinal Compression Fracture Mechanisms in Mountain Biking: An Accident Reconstruction Approach". [PDF]
Global Spine Jeuropepmc +1 more source
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Compressive sensing: To compress or not to compress
2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011In this paper, we consider the compressive sensing scheme from the information theory point of view and derive the lower bound of the probability of error for CS when length N of the information vector is large. The result has been shown that, for an i.i.d.
Davis Kirachaiwanich, Qilian Liang
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To compress or not to compress?
Proceedings of GLOBECOM'96. 1996 IEEE Global Telecommunications Conference, 2002For practical communications which transmit finite blocks of source data over noisy channels, we question the common practice to compress (C) the source and then to add redundancy for error control. Rather we exploit the redundancy of the non-compressed source (NC) at the channel decoder by source-controlled channel-decoding. For a simple binary Markov
G. Buch +3 more
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Compressed sensing of compressible signals
2017 IEEE International Symposium on Information Theory (ISIT), 2017A novel low-complexity robust-to-noise iterative algorithm named compression-based gradient descent (C-GD) algorithm is proposed. C-GD is a generic compressed sensing recovery algorithm, that at its core, employs compression codes, such as JPEG2000 and MPEG4.
Sajjad Beygi +3 more
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Compressive Sampling and Lossy Compression
IEEE Signal Processing Magazine, 2008Recent results in compressive sampling have shown that sparse signals can be recovered from a small number of random measurements. This property raises the question of whether random measurements can provide an efficient representation of sparse signals in an information-theoretic sense.
Vivek K. Goyal +2 more
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High compression ratio image compression
1993 IEEE International Symposium on Circuits and Systems, 2002An image compression method is proposed. It makes use of the wavelet transform (WT) with better frequency localization and the adaptive hierarchical vector quantization (AHVQ) technique. The WT provides a multifrequency channel representation for the image from which proper coding methods can be drawn.
Sheng Zhong, Qing-Yun Shi, Min-Teh Cheng
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Proceedings of the 3rd international conference on Computer graphics, virtual reality, visualisation and interaction in Africa, 2004
The great advances in the field of 3D scanning technologies have enabled the creation of meshes with hundred millions of polygons. Rendering data sets of that size is time consuming even with commodity graphics hardware. The QSplat technique that has been introduced by S. Rusinkiewics and M.
Namane, Rachid +2 more
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The great advances in the field of 3D scanning technologies have enabled the creation of meshes with hundred millions of polygons. Rendering data sets of that size is time consuming even with commodity graphics hardware. The QSplat technique that has been introduced by S. Rusinkiewics and M.
Namane, Rachid +2 more
openaire +2 more sources