Results 51 to 60 of about 6,413,007 (222)
Adaptively Optimized Combination of Phased-Array MR Spectroscopy Data Without Noise Correlation Estimation: A Joint Diagonalization Method. [PDF]
NMR BiomedA novel method for adaptively optimized combination (AOC) of multichannel magnetic resonance spectroscopy (MRS) data was developed that requires neither noise samples nor estimation of noise correlations across coil elements/channels. The method employs joint diagonalization (JD) of two correlation matrices: one derived from the individual repetitions ...
Fang L +4 more
europepmc +2 more sources
A GPU-based singular value decomposition algorithm
, 2023 In this research paper we present an implementation of a singular value decomposition algorithm designed specifically for the graphics processing unit. It consists of two parts: orthogonal matrix decomposition and matrix diagonalization.
Sukharskyi, S.S.
core
Applied SciencesThis work introduces Structured 3D-SVD as a practical framework for the reconstruction, compression, and analysis of biological volumetric data. Inspired by the logic of matrix singular value decomposition (SVD), the proposed approach represents third ...
Mario Aragonés Lozano +2 more
doaj +1 more source
The Anatomical Record, EarlyView.Abstract Analysis of the variation in the bony structures of the inner and middle ear provides critical insights into functional morphology, as well as adaptive morphology across primates. In this study, we investigated whether ear morphology patterns are related to the ecological characteristics of species and their habitats to test two acoustic ...
Myriam Marsot +4 more
wiley +1 more source
Performance Analysis of SVD-assisted Downlink Multiuser MIMO Systems [PDF]
, 2010 Multiuser multiple-input multiple-output (MIMO) downlink (DL) transmission schemes experience both multiuser interference as well as inter-antenna interference.
Ahrens, Andreas +2 more
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Journal of the Association for Information Science and Technology, EarlyView.Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
Subspace‐Based System Identification From Binary Measurements
Asian Journal of Control, EarlyView.ABSTRACT This paper is concerned with subspace identification from binary measurements for systems whose dynamical behavior can be splited into a deterministic and a stochastic subsystem. An identification algorithm is detailed. The main contribution of the proposed identification algorithm lies in the identification of both the deterministic subsystem
Alex Ali Mestrah +2 more
wiley +1 more source
An Out of Memory tSVD for Big-Data Factorization
IEEE Access, 2020 Singular value decomposition (SVD) is a matrix factorization method widely used for dimension reduction, data analytics, information retrieval, and unsupervised learning.
Hector Carrillo-Cabada +4 more
doaj +1 more source
Performance change detection and recovery in inferential control loops
The Canadian Journal of Chemical Engineering, EarlyView.Abstract In most industrial environments, soft sensors are crucial for estimating variables that are hard to measure. It is critical that these variables be estimated quickly and accurately because they are closely linked to plant safety and profit. Therefore, performance drift in the soft sensors cannot be ignored.
Xuanhui Zhai, Yuri A. W. Shardt
wiley +1 more source
A blind watermarkingalgorithm based on DWT and SVD
Journal of Measurement Science and Instrumentation, 2014 This paper presents a new digital image blind watermarking algorithm based on combination of discrete wavelet transform（DWT）and singular value decomposition（SVD）.First of all,we make wavelet decomposition for the original image and divide the acquired ...
XUAN Chun-qing +3 more
doaj