Search Results - [formula omitted]-norm minimization algorithm

A Small-Baseline InSAR Inversion Algorithm Combining a Smoothing Constraint and [Formula Omitted]-Norm Minimization by Wang, Jili, Deng, Yunkai, Wang, Robert, Ma, Peifeng, Lin, Hui

“…) deformation monitoring. In this letter, we present an alternative small-baseline DInSAR inversion algorithm, velocity-constraint [Formula Omitted]-norm minimization…”
Get full text

Intelligent driving methods based on sparse LSSVM and ensemble CART algorithms for high-speed trains by Cheng, Ruijun, Chen, Dewang, Gai, Weilong, Zheng, Song

“…•L0-norm minimization and ensemble CART algorithms can greatly enhance the generalization ability of proposed IDMs…”
Get full text

Fast and Accurate Algorithms for Re-Weighted [Formula Omitted]-Norm Minimization by Asif, M. Salman, Romberg, Justin

“…]-norm minimization problem. In many cases, the signal sparsity and recovery performance can be further improved by replacing the [Formula Omitted…”
Get full text

Lp quasi-norm minimization: algorithm and applications by Sleem, Omar M., Ashour, M. E., Aybat, N. S., Lagoa, Constantino M.

“… 1 norm minimization. The algorithm’s merit relies on its ability to solve the ℓ p quasi-norm minimization subject to any convex constraints set…”
Get full text

An Iteratively Reweighted Instrumental-Variable Estimator for Robust 3-D AOA Localization in Impulsive Noise by Nguyen, Ngoc Hung, Dogancay, Kutluyil, Kuruoglu, Ercan Engin

“…>-norm minimization criterion. The iteratively reweighted least-squares algorithm (IRLS) is a well-known technique for solving…”
Get full text

Random Noise Attenuation of Common Offset Gathers Using Iteratively Reweighted [Formula Omitted] Norm Minimization by Shi, Zhanzhan, Zhou, Huailai, Xia, Yanqing, Liu, Wei, Wang, Yuanjun

“…]-norm regularization, which enforces two constraints on source matrix, i.e., temporal sparsity and the horizontal continuity, is then adopted in the MMV model to stabilize the lateral variation between channels. Besides, [Formula Omitted…”
Get full text

Multiview Subspace Clustering by an Enhanced Tensor Nuclear Norm by Xia, Wei, Zhang, Xiangdong, Gao, Quanxue, Shu, Xiaochuang, Han, Jungong, Gao, Xinbo

“…>-norm based on t-SVD and develop an efficient algorithm to solve the weighted tensor Schatten <inline-formula> <tex-math notation="LaTeX">p </tex-math></inline-formula>-norm minimization (WTSNM) problem…”
Get full text

Low-Rank Approximation via Generalized Reweighted Iterative Nuclear and Frobenius Norms by Huang, Yan, Liao, Guisheng, Xiang, Yijian, Zhang, Lei, Li, Jie, Nehorai, Arye

“…) and the generalized iterative reweighted Frobenius norm (GIRFN) algorithms are proposed to approximate Schatten-p norm minimization…”
Get full text

Design of Sparse FIR Filters With Joint Optimization of Sparsity and Filter Order by Jiang, Aimin, Kwan, Hon Keung, Zhu, Yanping, Liu, Xiaofeng, Xu, Ning, Tang, Yibin

“… The design problem under consideration is formally cast as a regularized l 0 -norm minimization problem, which is then tackled by two different design algorithms…”
Get full text

Intelligent Localization of a High-Speed Train Using LSSVM and the Online Sparse Optimization Approach by Cheng, Ruijun, Song, Yongduan, Chen, Dewang, Chen, Long

“… Then, we apply two sparse optimization algorithms, i.e., iterative pruning error minimization (IPEM) and L 0 -norm minimization algorithms, to improve the sparsity of both least squares support vector machine…”
Get full text

Joint Waveform and Filter Design for Interference Suppression in Moving Target Environments by Lan, Zhengyu, Zuo, Lei, Liao, Bin, Yang, Tian

“…Moving targets and digital radio frequency memory (DRFM) interference distort the radar echo due to complex waveform modulation, severely degrading the radar…”
Get full text

New Improved Algorithms for Compressive Sensing Based on [Formula Omitted] Norm by Pant, Jeevan K, Lu, Wu-Sheng, Antoniou, Andreas

“…]-regularized least squares ([Formula Omitted]-RLS) algorithm, is proposed. The new algorithm is based on the minimization of a smoothed [Formula Omitted…”
Get full text

Embedding Prior Knowledge Within Compressed Sensing by Neural Networks by Merhej, D., Diab, C., Khalil, M., Prost, R.

“… The most known can be classified into two categories: ℓ 1 norm minimization-based algorithms and ℓ…”
Get full text

A Single-Pixel Imaging Method Based on Compressed Sensing for Improvement of Image Quality by Lu, Guangyu, Wang, Zixiong, Yu, Jinlong, Jiang, Yang

“… After that, we optimize ℓ 1 -norm minimization algorithm by constructing an intermediate function so that the optimal solution of transformed problem is closer to the ℓ…”
Get full text

DOA Estimation Using a Greedy Block Coordinate Descent Algorithm by Wei, Xiaohan, Yuan, Yabo, Ling, Qing

“…) algorithm shares similarity with the standard block coordinate descent method for l 2,1 -norm minimization, but adopts a greedy block selection rule which gives preference to sparsity…”
Get full text

Robust Localization Based on Mixed-Norm Minimization Criterion by Park, Chee-Hyun, Chang, Joon-Hyuk

“… The existing maximum correntropy criterion-based localization algorithm uses only the <inline-formula> <tex-math notation="LaTeX">l_{2} </tex-math></inline-formula> norm…”
Get full text

A Fast Sparse Azimuth Super-Resolution Imaging Method of Real Aperture Radar Based on Iterative Reweighted Least Squares With Linear Sketching by Tuo, Xingyu, Zhang, Yin, Huang, Yulin, Yang, Jianyu

“…> norm minimization problem mathematically. Iterative reweighted algorithm can effectively solve the <inline-formula><tex-math notation="LaTeX">L_1</tex-math></inline-formula…”
Get full text

The variant of the iterative shrinkage-thresholding algorithm for minimization of the ℓ1 over ℓ∞ norms by Wang, Jun, Ma, Qiang

“…) by introducing a simple auxiliary variable. In this paper, we study minimization of the ratio of ℓ1 and ℓ∞ norms (ℓ1/ℓ∞) as a nonconvex and sparsity-promoting metric for solving the unconstrained compressed sensing problems…”
Get full text

Fuzzy Double Trace Norm Minimization for Recommendation Systems by Shang, Fanhua, Liu, Yuanyuan, Cheng, James, Yan, Da

“… In this paper, we propose a novel fuzzy double trace norm minimization (DTNM) method for recommender systems…”
Get full text

Logarithmic Schatten-[Formula Omitted] Norm Minimization for Tensorial Multi-View Subspace Clustering by Guo, Jipeng, Sun, Yanfeng, Gao, Junbin, Hu, Yongli, Yin, Baocai

“… Further, a tensor logarithmic Schatten-[Formula Omitted] norm minimization ([Formula Omitted]NM)-based multi-view subspace clustering…”
Get full text