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Recanalization of the Paraumbilical Vein Mimicking an Umbilical Hernia: A Case Report. [PDF]
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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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SIAM Journal on Computing, 1985
A complexity-theoretic approach to the classical data compression problem is presented. A notion of language compressibility is defined, and it is shown that essentially all strings in a sufficiently sparse “easy” (e.g., polynomial-time) language can be compressed efficiently. A notion of ranking as a form of optimal compression is also defined, and it
Andrew V. Goldberg, Michael Sipser
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A complexity-theoretic approach to the classical data compression problem is presented. A notion of language compressibility is defined, and it is shown that essentially all strings in a sufficiently sparse “easy” (e.g., polynomial-time) language can be compressed efficiently. A notion of ranking as a form of optimal compression is also defined, and it
Andrew V. Goldberg, Michael Sipser
openaire +3 more sources