Results 111 to 120 of about 71,800 (235)
Robust constrained weighted least squares for in vivo human cardiac diffusion kurtosis imaging
Abstract Purpose Cardiac diffusion tensor imaging (cDTI) can investigate the microstructure of heart tissue. At sufficiently high b‐values, additional information on microstructure can be observed, but the data require a representation such as diffusion kurtosis imaging (DKI).
Sam Coveney +6 more
wiley +1 more source
In this paper, we obtain new results concerning the generalizations of additive and multiplicative majorizations by means of exponential convexity. We prove positive semi-definiteness of matrices generated by differences deduced from majorization type ...
Naveed Latif, Josip Pečarić
doaj +2 more sources
Semidefinite Programming (SDP) is a fairly recent way of solving optimization problems which are becoming more and more important in our fast moving world. It is a minimization of linear function over the intersection of the cone of positive semidefinite
Rasa Giniūnaitė
doaj +1 more source
Positive Semidefinite Metric Learning Using Boosting-like Algorithms [PDF]
The success of many machine learning and pattern recognition methods relies heavily upon the identification of an appropriate distance metric on the input data.
Hengel, Anton van den +3 more
core +3 more sources
ABSTRACT High‐level decision‐making for dynamical systems often involves performance and safety specifications that are activated or deactivated depending on conditions related to the system state and commands. Such decision‐making problems can be naturally formulated as optimization problems where these conditional activations are regulated by ...
Andrea Ghezzi +4 more
wiley +1 more source
Robust Spectral and Energy Efficiency Tradeoff for RIS‐Aided Multi‐User Communication
In this work, an RIS‐aided multi‐user network with imperfect CSI is investigated. Correspondingly, we focus on balancing SE and EE through the collaborative design of the base station (BS)'s precoding matrix and the RIS's phase shifts, which consider the transmit power budget and the channel uncertainties constraints.
Xiandeng He, Yilin Wang, Shun Zhang
wiley +1 more source
Collaborative Beamforming for Multi‐Target Localization Using Passive Anchors
A joint collaborative beamforming strategy for passive sensor network is proposed active sensors generate collaborative beam to power up the passive sensors and attain accurate self‐localization. ABSTRACT Using wireless passive sensor nodes as anchors is a cost‐effective way for localization system.
Xingjun Lai +3 more
wiley +1 more source
Correlation matrices, Clifford algebras, and completely positive\n semidefinite rank [PDF]
Anupam Prakash, Antonios Varvitsiotis
openalex +2 more sources
Robust Beamforming for ISAC Systems via Probability of Detection Optimisation
We propose a two‐step robust beamforming design for ISAC that maximises multi‐target detection probability while satisfying multi‐user SINR and per‐antenna power constraints. A sensing‐only Riemannian optimisation on the oblique manifold shapes the transmit covariance, followed by SDR‐based reconstruction to enforce communication guarantees ...
Yong Wang, Xianren Kong
wiley +1 more source
Some inequalities for unitarily invariant norms of matrices
This article aims to discuss inequalities involving unitarily invariant norms. We obtain a refinement of the inequality shown by Zhan. Meanwhile, we give an improvement of the inequality presented by Bhatia and Kittaneh for the Hilbert-Schmidt norm ...
Wang Shaoheng, Zou Limin, Jiang Youyi
doaj

