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The Structure and Compression of Medical Compression Stockings [PDF]
Materials, 2022 This paper lays out standards of compression stockings and their classification into classes. The analysis of knitted fabric structure parameters, elongation and compression of moderate- and high-compression stockings was conducted. Stocking compression on specific parts of the stocking leg was measured on three sizes of a wooden leg model.
Miloš Lozo +3 more
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In memory of Prof. Waldemar L. Olszewski
Veins and Lymphatics, 2021 This is Waldemar as we know him: incorruptibly believing on his own experience; which revolutionized conventional ideas concerning basic facts on physiology and pathology of tissue function.
Hugo Partsch
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Dehydration of Biotissues During Their Compression [PDF]
Известия Саратовского университета. Новая серия Серия: Физика, 2020 Background and Objectives: Dehydration of tissue is one of the possible mechanisms of mechanical tissue optical clearing. In this study we investigated the effects of dehydration of ex vivo cow muscle tissue samples during their compression on diffuse ...
Зюрюкина, Ольга Анатольевна +1 more
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Compression behaviour of BFRP bars [PDF]
Archives of Civil Engineering, 2022 The durability of building structures reinforced by steel is one of the main concerns in civil engineering. Currently, research in the field is focused on the possibility of replacing steel with relatively corrosion-resistant reinforcement, such as BFRP (
Marek Urbański, Kostiantyn Protchenko
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From compression to compressed sensing [PDF]
2013 IEEE International Symposium on Information Theory, 2013 Can compression algorithms be employed for recovering signals from their underdetermined set of linear measurements? Addressing this question is the first step towards applying compression algorithms for compressed sensing (CS). In this paper, we consider a family of compression algorithms $\mathcal{C}_r$, parametrized by rate $r$, for a compact class ...
Arian Maleki, Shirin Jalali
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Clustering by Compression [PDF]
IEEE Transactions on Information Theory, 2003 We present a new method for clustering based on compression. The method doesn't use subject-specific features or background knowledge, and works as follows: First, we determine a universal similarity distance, the normalized compression distance or NCD, computed from the lengths of compressed data files (singly and in pairwise concatenation).
Xin Li +4 more
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Effect of different spatial normalization approaches on tractography and structural brain networks [PDF]
Network Neuroscience, 2018 To facilitate the comparison of white matter morphologic connectivity across target populations, it is invaluable to map the data to a standardized neuroanatomical space.
Clint Greene +2 more
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Compression-Based Compressed Sensing [PDF]
IEEE Transactions on Information Theory, 2017 Modern compression algorithms exploit complex structures that are present in signals to describe them very efficiently. On the other hand, the field of compressed sensing is built upon the observation that "structured" signals can be recovered from their under-determined set of linear projections.
Farideh E. Rezagah +3 more
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On the Compressibility of Tensors [PDF]
SIAM Journal on Matrix Analysis and Applications, 2021 Tensors are often compressed by expressing them in low rank tensor formats. In this paper, we develop three methodologies that bound the compressibility of a tensor: (1) Algebraic structure, (2) Smoothness, and (3) Displacement structure. For each methodology, we derive bounds on storage costs that partially explain the abundance of compressible ...
Tianyi Shi, Alex Townsend
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Astronomy & Astrophysics, 2014 We introduce the concept of compressed convolution, a technique to convolve a given data set with a large number of non-orthogonal kernels. In typical applications our technique drastically reduces the effective number of computations. The new method is applicable to convolutions with symmetric and asymmetric kernels and can be easily controlled for an
Franz Elsner, Benjamin D. Wandelt
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