Results 21 to 30 of about 728,251 (279)

Iterative algorithm for reconstruction of entangled states [PDF]

, 2000
An iterative algorithm for the reconstruction of an unknown quantum state from the results of incompatible measurements is proposed. It consists of Expectation-Maximization step followed by a unitary transformation of the eigenbasis of the density matrix.
A. G. White, A. P. Dempster, A. S. Lane, G. M. D’ Ariano, J. H. Shapiro, J. Řeháček, J. Řeháček, K. Banaszek, K. R. W. Jones, M. Ježek, S. Kullback, U. Leonhardt, V. Bužek, V. Vedral, Y. Vardi, Z. Hradil, Z. Hradil, Z. Hradil, Z. Hradil, Z. Hradil   +19 more
core   +2 more sources

Particle Swarm Optimization Iterative Identification Algorithm and Gradient Iterative Identification Algorithm for Wiener Systems with Colored Noise

Complexity, 2018
This paper considers the parameter identification of Wiener systems with colored noise. The difficulty in the identification is that the model is nonlinear and the intermediate variable cannot be measured.
Junhong Li, Xiao Li
doaj   +1 more source

Approximate Message Passing Algorithm for Nonconvex Regularization

IEEE Access, 2019
In this paper, we study the sparse signal reconstruction with nonconvex regularization, mainly focusing on two popular nonconvex regularization methods, minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD).
Hui Zhang, Hai Zhang, Yong Liang, Zi-Yi Yang, Yanqiong Ren   +4 more
doaj   +1 more source

Fast Converging Iterative Precoding for Massive MIMO Systems: An Accelerated Weighted Neumann Series-Steepest Descent Approach

IEEE Access, 2020
For massive multiple-input multiple-output (MIMO) systems, linear precoding is preferable to nonlinear precoding for better performance-complexity trade-off.
Qian Deng, Xiaopeng Liang, Xianpeng Wang, Mengxing Huang, Chao Dong, Yufang Zhang   +5 more
doaj   +1 more source

Learning Incoherent Subspaces: Classification via Incoherent Dictionary Learning [PDF]

, 2015
In this article we present the supervised iterative projections and rotations (s-ipr) algorithm, a method for learning discriminative incoherent subspaces from data.
D Barchiesi, Daniele Barchiesi, E Bair, E Barshan, K Pearson, K-C Li, Mark D. Plumbley, N Aronszajn, R Rubinstein   +8 more
core   +1 more source

Model-Driven Enhanced Analytic Learned Iterative Shrinkage Threshold Algorithm

IEEE Access, 2022
The application of deep learning in compressed sensing reconstruction has achieved some excellent results. The deep neural network based on iterative algorithm can not only reflect the excellent performance of deep learning, but also reflect the ...
Jun Li, Liyang Shang, Bo He, Wenjing Zheng, Fei Lin   +4 more
doaj   +1 more source

State determination: An iterative algorithm [PDF]

Physical Review A, 2008
11 pages 3 ...
Goyeneche, Dardo M., de la Torre, Alberto C.   +1 more
openaire   +2 more sources

On the Absence of Spurious Eigenstates in an Iterative Algorithm Proposed By Waxman

, 2006
We discuss a remarkable property of an iterative algorithm for eigenvalue problems recently advanced by Waxman that constitutes a clear advantage over other iterative procedures.
A R Plastino, H G Miller, Haydock R, Lanczos C, R A Andrew, Waxman D   +5 more
core   +1 more source

Interference Alignment via Message-Passing

, 2013
We introduce an iterative solution to the problem of interference alignment (IA) over MIMO channels based on a message-passing formulation. We propose a parameterization of the messages that enables the computation of IA precoders by a min-sum algorithm ...
Guillaud, Maxime, Matz, Gerald, Rezaee, Mohsen   +2 more
core   +1 more source

Iterative Parameter Estimation Algorithms for Dual-Frequency Signal Models

Algorithms, 2017
This paper focuses on the iterative parameter estimation algorithms for dual-frequency signal models that are disturbed by stochastic noise. The key of the work is to overcome the difficulty that the signal model is a highly nonlinear function with ...
Siyu Liu, Ling Xu, Feng Ding
doaj   +1 more source