Results 11 to 20 of about 10,375 (260)
A symmetric alternating minimization algorithm for total variation minimization [PDF]
Signal Processing, 2020 to appear in Signal ...
Yuan Lei, Jiaxin Xie
openaire +3 more sources
Adaptive Alternating Minimization Algorithms [PDF]
2007 IEEE International Symposium on Information Theory, 2007 The classical alternating minimization (or projection) algorithm has been successful in the context of solving optimization problems over two variables. The iterative nature and simplicity of the algorithm has led to its application to many areas such as signal processing, information theory, control, and finance. A general set of sufficient conditions
Urs Niesen +2 more
openaire +7 more sources
An alternating minimization algorithm for Factor Analysis [PDF]
Kybernetika, 2019 The problem of decomposing a given covariance matrix as the sum of a positive semi-definite matrix of given rank and a positive semi-definite diagonal matrix, is considered. We present a projection-type algorithm to address this problem. This algorithm appears to perform extremely well and is extremely fast even when the given covariance matrix has a ...
Valentina Ciccone +2 more
openaire +4 more sources
Axioms, 2023 This paper considers a 1D time-domain inverse scattering problem for the Helmholtz equation in which penetrable scatterers are to be determined from boundary measurements of the scattering data.
Nguyen Trung Thành
doaj +1 more source
Multi-Channel Blind Restoration of Mixed Noise Images under Atmospheric Turbulence
Atmosphere, 2022 The imaging quality of astronomical or space objects is significantly degraded by atmospheric turbulence, photon noise, image sensor noise, and other factors.
Huizhen Yang +4 more
doaj +1 more source
Fronthaul Compression for Uplink Massive MIMO Using Matrix Decomposition
IEEE Open Journal of the Communications Society, 2023 Massive multiple-input-multiple-output (MIMO) is a key enabler for obtaining higher data rates in the next generation wireless technology. While it has the power to transform cellular communication, with potential for spatial diversity and multiplexing ...
P. Aswathylakshmi, Radha Krishna Ganti
doaj +1 more source
Sparse Non-negative Matrix Factorization Algorithm Based on Proximal Alternating Linearized Minimization [PDF]
Jisuanji gongcheng, 2019 This paper combinessparsity constraint and Proximal Alternating Linearized Minimization(PALM),proposes a Sparse Non-negative Matrix Factorization(SNMF) algorithm,called SNMF_PALM.The non-convex Smoothly Clipped Absolute Deviation(SCAD) function is used ...
WANG Jing,YANG Dan
doaj +1 more source
On accelerated alternating minimization
, 2020 Alternating minimization (AM) optimization algorithms have been known for a long time and are of importance in machine learning problems, among which we are mostly motivated by approximating optimal transport distances. AM algorithms assume that the decision variable is divided into several blocks and minimization in each block can be done explicitly ...
Guminov, Sergey +2 more
openaire +3 more sources
Truncated Fractional-Order Total Variation for Image Denoising under Cauchy Noise
Axioms, 2022 In recent years, the fractional-order derivative has achieved great success in removing Gaussian noise, impulsive noise, multiplicative noise and so on, but few works have been conducted to remove Cauchy noise. In this paper, we propose a novel nonconvex
Jianguang Zhu +3 more
doaj +1 more source
Hybrid Precoding Design for MIMO System With One-Bit ADC Receivers
IEEE Access, 2018 When wireless transmission is performed over the bandwidth in the order of a gigahertz, high-resolution analog-to-digital converters (ADCs), and the large number of radio frequency chains significantly increase the power consumption.
Qitong Hou +3 more
doaj +1 more source