Results 1 to 10 of about 27,299 (164)
Projection Matrix Based Iterative Reconstruction Algorithm for Robotic CT
IEEE Access, 2023 Robotic computed tomography (CT) consists of two separate manipulators which carry the source and detector, respectively. Various errors occur in motion due to lack of rigid connection, which may change scanning trajectory of this system.
Xuan Zhou, Qiong Xu, Cunfeng Wei
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Sensors, 2023 In this paper, we consider a slot-controlled coded compressed sensing protocol for unsourced massive random access (URA) that concatenates a shared patterned Reed–Muller (PRM) inner codebook to an outer error-correction code.
Wenjiao Xie, Runhe Tian, Huisheng Zhang
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Block-Iterative Algorithms with Underrelaxed Bregman Projections [PDF]
SIAM Journal on Optimization, 2002 The authors consider the convex feasibility problem of finding a point of the set \(C=\bigcap_{i=1}^{m} C_{i}\) where each \(C_{i}\) is a convex closed subset of \(R^{n}\). The usual block-iterative algorithms for this problem are based on the sequential orthogonal projections with possible relaxations.
Yair Censor, Gabor T. Herman
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Iterative algorithms with seminorm‐induced oblique projections [PDF]
Abstract and Applied Analysis, 2003 A definition of oblique projections onto closed convex sets that use seminorms induced by diagonal matrices which may have zeros on the diagonal is introduced. Existence and uniqueness of such projections are secured via directional affinity of the sets with respect to the diagonal matrices involved. A block‐iterative algorithmic scheme for solving the
Censor, Yair, Elfving, Tommy
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Statistical Interior Tomography via L1 Norm Dictionary Learning without Assuming an Object Support
Tomography, 2022 Interior tomography of X-ray computed tomography (CT) has many advantages, such as a lower radiation dose and lower detector hardware cost compared to traditional CT.
Junfeng Wu, Xiaofeng Wang, Xuanqin Mou
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Projections for Approximate Policy Iteration Algorithms [PDF]
, 2019 Approximate policy iteration is a class of reinforcement learning (RL) algorithms where the policy is encoded using a function approximator and which has been especially prominent in RL with continuous action spaces. In this class of RL algorithms, ensuring increase of the policy return during policy update often requires to constrain the change in ...
Akrour, R. +3 more
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Coordinate descent iterations in fast affine projection algorithm [PDF]
IEEE Signal Processing Letters, 2005 We propose a new approach for real-time implementation of the fast affine projection (FAP) algorithm. This is based on exploiting the recently introduced dichotomous coordinate descent (DCD) algorithm, which is especially efficient for solving systems of linear equations on real-time hardware and software platforms since it is free of multiplication ...
Yuriy V. Zakharov, Felix Albu
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Step Surface Profile Measurement Based on Fringe Projection Phase-Shifting Using Selective Sampling
Photonics, 2021 Fringe projection is a non-contact optical method that is widely used in the optical precision measurement of complex stepped surfaces. However, the accuracy of the fringe phase extraction employed has a direct impact on the measurement precision of the ...
Songsong Zhang, Haisong Huang
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Coordinate Descent Iterations in Pseudo Affine Projection Algorithm [PDF]
2005 IEEE International Symposium on Circuits and Systems, 2005 This paper introduces a new affine projection algorithm based on the dichotomous coordinate descent algorithm. A generalization for simplified Volterra filters is also made and its stability is improved by using a voice activity detector. The performance of the proposed algorithms for acoustic echo cancellation is assessed.
Felix Albu, Constantine Kotropoulos
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AN ECC-BASED ITERATIVE ALGORITHM FOR PHOTOMETRIC INVARIANT PROJECTIVE REGISTRATION [PDF]
International Journal on Artificial Intelligence Tools, 2009 The ability of an algorithm to accurately estimate the parameters of the geometric transformation which aligns two image profiles even in the presence of photometric distortions can be considered as a basic requirement in many computer vision applications. Projective transformations constitute a general class which includes as special cases the affine,
Georgios D. Evangelidis +1 more
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