Suchergebnisse - [formula omitted]-norm minimization algorithm

A Small-Baseline InSAR Inversion Algorithm Combining a Smoothing Constraint and [Formula Omitted]-Norm Minimization von 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 …”
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Intelligent driving methods based on sparse LSSVM and ensemble CART algorithms for high-speed trains von Cheng, Ruijun, Chen, Dewang, Gai, Weilong, Zheng, Song

“… •L0-norm minimization and ensemble CART algorithms can greatly enhance the generalization ability of proposed IDMs …”
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Fast and Accurate Algorithms for Re-Weighted [Formula Omitted]-Norm Minimization von 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 …”
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Lp quasi-norm minimization: algorithm and applications von 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 …”
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An Iteratively Reweighted Instrumental-Variable Estimator for Robust 3-D AOA Localization in Impulsive Noise von 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 …”
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Random Noise Attenuation of Common Offset Gathers Using Iteratively Reweighted [Formula Omitted] Norm Minimization von 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 …”
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Multiview Subspace Clustering by an Enhanced Tensor Nuclear Norm von 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 …”
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Low-Rank Approximation via Generalized Reweighted Iterative Nuclear and Frobenius Norms von 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 …”
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Design of Sparse FIR Filters With Joint Optimization of Sparsity and Filter Order von 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 …”
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Intelligent Localization of a High-Speed Train Using LSSVM and the Online Sparse Optimization Approach von 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 …”
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Joint Waveform and Filter Design for Interference Suppression in Moving Target Environments von 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 …”
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New Improved Algorithms for Compressive Sensing Based on [Formula Omitted] Norm von 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 …”
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Embedding Prior Knowledge Within Compressed Sensing by Neural Networks von 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 …”
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A Single-Pixel Imaging Method Based on Compressed Sensing for Improvement of Image Quality von 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 …”
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DOA Estimation Using a Greedy Block Coordinate Descent Algorithm von 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 …”
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Robust Localization Based on Mixed-Norm Minimization Criterion von 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 …”
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A Fast Sparse Azimuth Super-Resolution Imaging Method of Real Aperture Radar Based on Iterative Reweighted Least Squares With Linear Sketching von 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 …”
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The variant of the iterative shrinkage-thresholding algorithm for minimization of the ℓ1 over ℓ∞ norms von 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 …”
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Fuzzy Double Trace Norm Minimization for Recommendation Systems von 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 …”
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Logarithmic Schatten-[Formula Omitted] Norm Minimization for Tensorial Multi-View Subspace Clustering von 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 …”
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