Results 251 to 260 of about 1,179,942 (315)
Some of the next articles are maybe not open access.
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2019
Compressive sensing (CS) is a novel signal processing technology to reconstruct the sparse signal at sub-Nyquist rate. Orthogonal matching pursuit (OMP) is one of the most widely used signal reconstruction algorithms.
Xiang Ge +4 more
semanticscholar +1 more source
Compressive sensing (CS) is a novel signal processing technology to reconstruct the sparse signal at sub-Nyquist rate. Orthogonal matching pursuit (OMP) is one of the most widely used signal reconstruction algorithms.
Xiang Ge +4 more
semanticscholar +1 more source
QR-Decomposition-Aided Tabu Search Detection for Large MIMO Systems
IEEE Transactions on Vehicular Technology, 2019In the conventional tabu search (TS) detection algorithm for multiple-input multiple-output (MIMO) systems, the cost metrics of all neighboring vectors are computed to determine the best neighbor.
N. Nguyen, Kyungchun Lee, Huaiyu Dai
semanticscholar +1 more source
A QR decomposition approach to factor modelling
Signal Processing, 2017An observed K-dimensional series {yn}n=1N is expressed in terms of a lower p-dimensional latent series called factors fn and random noise n. The equation, yn=Qfn+n is taken to relate the factors with the observation. The goal is to determine the dimension of the factors, p, the factor loading matrix, Q, and the factors fn.
Immanuel Manohar +2 more
openaire +1 more source
Efficient Decoding Algorithm with QR-Decomposition
2007 IEEE Wireless Communications and Networking Conference, 2007An efficient decoding algorithm named 'divide decoder' is proposed in this paper. Divide decoder can be combined with any decoder using QR-decomposition and offers different pairs of performance and complexity. Divide decoder also provides various combinations of two or more different searching algorithms.
In Sook Park, Hyun Kyu Chung
openaire +1 more source
Parallelized QR decomposition using GPUs
2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE), 2019This paper presents the performance results of a parallelized, accelerated eigendecomposition using the block Householder QR decomposition algorithm on a graphic processing unit (GPU). The QR software was developed using NVIDIA’s CUDA parallel programming and computing platform and executed on an NVIDIA Tesla GPU accelerator card.
Ian Schofield +1 more
openaire +1 more source
A+ Evolutionary search algorithm and QR decomposition based rotation invariant crossover operator
Expert systems with applications, 2018The recently proposed artificial cooperative search (ACS) algorithm is a population-based iterative evolutionary algorithm (EA) for solving real-valued numerical optimization problems.
P. Çivicioglu, E. Beşdok
semanticscholar +1 more source
A color image watermarking method combined QR decomposition and spatial domain
Multimedia tools and applications, 2022Huanying Wang, Qingtang Su
semanticscholar +1 more source
A Rotation Method for Computing the QR-Decomposition
SIAM Journal on Scientific and Statistical Computing, 1986In this contribution to the increasing literature on numerical linear algebra algorithms suitable for systolic arrays, a method for the computation of the QR factorization of square and rectangular matrices is considered. For an \(m\times n\) matrix, \(m\geq n\), \(n^ 2\) processors and on the order of m steps are required.
openaire +2 more sources

