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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), 2011
In 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, 2002
For 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), 2017
A 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, 2008
Recent 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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Compression and Ranking

SIAM Journal on Computing, 1985
A notion of language compressibility is defined and it is proved that in a sufficiently sparse and ``easy''-computable language essentially all strings can be compressed efficiently. Similar results hold for a type of optimal compression (ranking). Examples of languages that cannot be compressed/ranked efficiently are also presented, as well as some ...
Andrew V. Goldberg, Michael Sipser
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High compression ratio image compression

1993 IEEE International Symposium on Circuits and Systems, 2002
An 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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QSplat compression

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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Similarity by Compression

Journal of Chemical Information and Modeling, 2006
We present a simple and effective method for similarity searching in virtual high-throughput screening, requiring only a string-based representation of the molecules (e.g., SMILES) and standard compression software, available on all modern desktop computers.
James L. Melville   +2 more
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