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of 295
pro vyhledávání: '"Vitaly Kober"'
Autor:
Vitaly Kober
Publikováno v:
Mathematics, Vol 11, Iss 18, p 3829 (2023)
Discrete cosine and sine transforms closely approximate the Karhunen–Loeve transform for first-order Markov stationary signals with high and low correlation coefficients, respectively. Discrete sinusoidal transforms can be used in data compression,
Externí odkaz:
https://doaj.org/article/0ea6ad7847164da8a5873af9906abd77
Autor:
Vitaly Kober
Publikováno v:
IEEE Access, Vol 9, Pp 94293-94298 (2021)
Discrete sine transform (DST) is widely used in digital signal processing such as image coding, spectral analysis, feature extraction, and filtering. This is because the discrete sine transform is close to the optimal Karhunen–Loeve transform for f
Externí odkaz:
https://doaj.org/article/0797c4347d924303ab8404d0196e2d9d
Publikováno v:
Mathematics, Vol 11, Iss 1, p 35 (2022)
Point cloud collection forming a 3D scene typically uses information from multiple data scans. The common approach is to register the point cloud pairs consequentially using a variant of the iterative closest point (ICP) algorithm, but most versions
Externí odkaz:
https://doaj.org/article/552a44501f274d17a1648104ae948fef
Publikováno v:
Sensors, Vol 22, Iss 23, p 9050 (2022)
A stereo matching method based on adaptive morphological correlation is presented. The point correspondences of an input pair of stereo images are determined by matching locally adaptive image windows using the suggested morphological correlation tha
Externí odkaz:
https://doaj.org/article/82001bdddc0a4c3492fd434983f36f1a
Publikováno v:
Agriculture, Vol 12, Iss 11, p 1794 (2022)
Predicting the live weight of cattle helps us monitor the health of animals, conduct genetic selection, and determine the optimal timing of slaughter. On large farms, accurate and expensive industrial scales are used to measure live weight. However,
Externí odkaz:
https://doaj.org/article/1b1e509100c646e290348b2754f90a1a
Autor:
Julia Diaz-Escobar, Nelson E Ordóñez-Guillén, Salvador Villarreal-Reyes, Alejandro Galaviz-Mosqueda, Vitaly Kober, Raúl Rivera-Rodriguez, Jose E Lozano Rizk
Publikováno v:
PLoS ONE, Vol 16, Iss 8, p e0255886 (2021)
BackgroundThe COVID-19 pandemic has exposed the vulnerability of healthcare services worldwide, especially in underdeveloped countries. There is a clear need to develop novel computer-assisted diagnosis tools to provide rapid and cost-effective scree
Externí odkaz:
https://doaj.org/article/8253460d1b584765aecfa04aac0314ae
Publikováno v:
Mathematics, Vol 9, Iss 20, p 2589 (2021)
The registration of point clouds in a three-dimensional space is an important task in many areas of computer vision, including robotics and autonomous driving. The purpose of registration is to find a rigid geometric transformation to align two point
Externí odkaz:
https://doaj.org/article/b2ae99767795471b88c7b891caf24c3b
Autor:
Vitaly Kober
Publikováno v:
Sensors, Vol 20, Iss 19, p 5556 (2020)
Short-time (sliding) transform based on discrete Hartley transform (DHT) is often used to estimate the power spectrum of a quasi-stationary process such as speech, audio, radar, communication, and biomedical signals. Sliding transform calculates the
Externí odkaz:
https://doaj.org/article/91b96654ef8b4df38bb9b426e1abfa58
Publikováno v:
Mathematics, Vol 8, Iss 7, p 1141 (2020)
Removing noise from signals using total variation regularization is a challenging signal processing problem arising in many practical applications. The taut string method is one of the most efficient approaches for solving the 1D TV regularization pr
Externí odkaz:
https://doaj.org/article/4190e842c0e348718da454637866173e
Publikováno v:
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2016, Vol. 35, Issue 3, pp. 1034-1045.