Results 101 to 110 of about 205,624 (165)

Experimental and Modeling Study on the Aging Behavior of Silicone Rubber Foam: A Simplified Ogden Approach with a Single Time-Varying Parameter. [PDF]

Polymers (Basel)
Li H, Huang G, Guo M, Wu F, Li B, Xie X.
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Laparoscopic Management of a Symptomatic Paraduodenal Hernia Complicated by Ureteric Compression: A Case Report. [PDF]

Cureus
Ranathunga P, Ganga G, Dassanayake B.
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A Review of the Current Status and Development Trends of Compression Casting Concrete. [PDF]

Materials (Basel)
Xu X, Yu Y, Han H, Xu S, Zhang F.
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Radiological differences between patients with degenerative cervical myelopathy according to different levels of maximum compression. [PDF]

BMC Musculoskelet Disord
Wen B, Yang S, Zhao S, Gao A.
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Golden Ratio Compression Basis

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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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Compression ratio boundaries for predictive signal compression

IEEE Transactions on Image Processing, 2001
Predictive regressional models like DPCM are widely used in digital signal compression. This paper analyzes the relationship that exists between the predictive model fitness and the resultant reduction of the first-order signal entropy, and finds the lossless compression ratio C as a function of predictive model correlation rho.
Oleg S. Pianykh, John M. Tyler
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Compression Ratio Design in Compressive Spectral Imaging

2016 Data Compression Conference (DCC), 2016
In this work, a compression strategy for Focal Plane Array Measurements (FPA_M) in Compressive Spectral Imaging (CSI) is presented. The strategy is applied to four CSI architectures. The implementation consists of two stages: transformation and coding. The transformation stage is performed according to the FPA_M structure. Finally, an arithmetic coding
Jeison Marin, Leonardo Betancur, Henry Arguello   +2 more
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Compression ratio prediction in lossy compression of noisy images

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015
Our paper addresses a question of prediction compression ratio in lossy compression of remote sensing images by coders based on discrete cosine transform (DCT) taking into account noise present in these images. Quantization step is set fixed and proportional to noise standard deviation to provide compression in optimal operation point if it exists ...
Alexander N. Zemliachenko, Sergey K. Abramov, Vladimir V. Lukin, Benoît Vozel, Kacem Chehdi   +4 more
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