Results 31 to 40 of about 1,241,382 (276)

Research on correction algorithm of propagation error in wireless sensor network coding

EURASIP Journal on Wireless Communications and Networking, 2020
It is very difficult to deal with the problem of error correction in random network coding, especially when the number of errors is more than the min-cut of the network. We combine a small field with rank-metric codes to solve this problem in this paper.
Dongqiu Zhang, Mingyong Pang, Guangzhi Zhang, Dandan Huang   +3 more
doaj   +1 more source

Non-minimum tensor rank Gabidulin codes

Linear Algebra and its Applications, 2022
The tensor rank of some Gabidulin codes of small dimension is investigated. In particular, we determine the tensor rank of any rank metric code equivalent to an $8$-dimensional $\mathbb{F}_q$-linear generalized Gabidulin code in $\mathbb{F}_{q}^{4\times4}$. This shows that such a code is never minimum tensor rank.
Bartoli D., Zini G., Zullo F.
openaire   +5 more sources

A Single-Image Noise Estimation Algorithm Based on Pixel-Level Low-Rank Low-Texture Patch and Principal Component Analysis

Sensors, 2022
Noise level is an important parameter for image denoising in many image-processing applications. We propose a noise estimation algorithm based on pixel-level low-rank, low-texture subblocks and principal component analysis for white Gaussian noise. First,
Yong Li, Chenguang Liu, Xiaoyu You, Jian Liu   +3 more
doaj   +1 more source

The minimum rank problem over the finite field of order 2: Minimum rank 3

Linear Algebra and its Applications, 2009
Our main result is a sharp bound for the number of vertices in a minimal forbidden subgraph for the graphs having minimum rank at most 3 over the finite field of order 2. We also list all 62 such minimal forbidden subgraphs. We conclude by exploring how some of these results over the finite field of order 2 extend to arbitrary fields and demonstrate ...
Barrett, Wayne, Grout, Jason, Loewy, Raphael   +2 more
openaire   +2 more sources

A Principal Components Analysis Approach to Quantifying Foot Clearance and Foot Clearance Variability [PDF]

, 2019
Low foot clearance and high variability may be related to falls risk. Foot clearance is often defined as the local minimum in toe height during swing; however, not all strides have this local minimum.
Barrett, Barrett, Begg, Begg, Begg, Begg, Borg, Borg, Brandon, Brandon, Byju, Byju, Daffertshofer, Daffertshofer, De Asha, De Asha, Khandoker, Khandoker, Little, Little, Loverro, Loverro, Mills, Mills, Moosabhoy, Moosabhoy, Nagano, Nagano, Nagano, Nagano, Robinovitch, Robinovitch, Santhiranayagam, Santhiranayagam, Santhiranayagam, Santhiranayagam, Savin, Savin, Schulz, Schulz, Schulz, Schulz, Senden, Senden, Sullivan, Sullivan, Thies, Thies, Weinhandl, Weinhandl, Winter, Winter, Zeni, Zeni   +53 more
core   +2 more sources

Robust Tensor Factorization for Color Image and Grayscale Video Recovery

IEEE Access, 2020
Low-rank tensor completion (LRTC) plays an important role in many fields, such as machine learning, computer vision, image processing, and mathematical theory.
Shiqiang Du, Yuqing Shi, Wenjin Hu, Weilan Wang, Jing Lian   +4 more
doaj   +1 more source

An Insight to Estimated Item Response Matrix in Item Response Theory

IEEE Access, 2023
This paper investigates the performance of item response theory based on distance criteria rather than likelihood criteria. For this purpose, the estimated item response matrix is introduced.
Hideo Hirose
doaj   +1 more source

Minimum rank problems

Linear Algebra and its Applications, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Decompositions of minimum rank matrices

Linear Algebra and its Applications, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Barrett, Wayne, Kempton, Mark, Malloy, Nicole, Nelson, Curtis, Sexton, William, Sinkovic, John   +5 more
openaire   +2 more sources

Materials selection method using improved TOPSIS without rank reversal based on linear max-min normalization with absolute maximum and minimum values

Materials Research Express, 2022
Technique for order preference by similarity to ideal solution (TOPSIS) is a well-known multi attribute decision making (MADM) method and it has been widely used in materials selection.
Won-Chol Yang, Chol-Min Choe, Jin-Sim Kim, Myong-Song Om, Un-Ha Kim   +4 more
doaj   +1 more source