A Multidimensional Data-Driven Sparse Identification Technique: The Sparse Proper Generalized Decomposition by Rubén Ibáñez, Emmanuelle Abisset-Chavanne, Amine Ammar, David González, Elías Cueto, Antonio Huerta, Jean Louis Duval, Francisco Chinesta

“…Sparse model identification by means of data is especially cumbersome if the sought dynamics live in a high dimensional space. …”
Get full text

SPARSE CYLINDRICAL AND CONICAL ANTENNA ARRAYS by O. A. Yurtsev, S. A. Zavadski

“…Cylindrical and conical antenna arrays numerical simulation results are presented. Radiation pattern and directivity coefficient dependence from array sparseness factor is observed.…”
Get full text

Analysis of sparse data in pharmacokinetic studies by I. I. Miroshnichenko, A. N. Simonov, I. I. Kuzmin, A. I. Platova

“…Performing pharmacokinetic and statistical analysis in the case of sparse data presents significant difficulties. Using the example of the pharmacokinetic (PK) study of resveratrol in mice, the resampling method was allowed us to obtain individual PK-parameters and perform full-fledged statistical tests.…”
Get full text

Sparse Array Mutual Coupling Reduction by C. Larmour, N. Buchanan, V. Fusco, M. Ali Babar Abbasi

“…This paper provides a concise overview of recent developments in sparse antenna arrays, with a specific focus on techniques for reducing mutual coupling. …”
Get full text

Improving Presentation Attack Detection Classification Accuracy: Novel Approaches Incorporating Facial Expressions, Backdrops, and Data Augmentation by Tayyaba Riaz, Adeel Anjum, Madiha Haider Syed, Semeen Rehman

Get full text

Sparse Array for Beamforming in Wireless Communication Systems by Oscar Ossa-Molina, Juan Felipe Guerra, Andrés Felipe Betancur

“…The array pattern after beamforming is presented for each array antenna, and it was demonstrated that the sparse array achieves superior results compared to the uniform linear array. …”
Get full text

Robust and sparse estimator for EEG source localization by Teja Mannepalli, Aurobinda Routray

Get full text

Sparse sufficient dimension reduction for directional regression by Gayun Kwon, Gijeong Noh, Kyongwon Kim

“…To address this issue, we introduce a sparse sufficient dimension reduction method for directional regression. …”
Get full text

Sparse Indoor Camera Positioning with Fiducial Markers by Pablo García-Ruiz, Francisco J. Romero-Ramirez, Rafael Muñoz-Salinas, Manuel J. Marín-Jiménez, Rafael Medina-Carnicer

Get full text

An effective routing scheme of sparse wireless sensor networks by Chao SONG, Yingfeng ZHENG, Wenbin ZHAO

“…In order to make the energy-constrained mobile agent node obtain the minimum total route，an effective routing scheme of energy-constrained mobile agent node in sparse wireless sensor networks was presented. The mathematic model of the route of mobile agent node was built firstly，and then the whole wireless sensor network was split into different subsets according to the energy of the mobile agent node. …”
Get full text

An effective routing scheme of sparse wireless sensor networks by Chao SONG, Yingfeng ZHENG, Wenbin ZHAO

“…In order to make the energy-constrained mobile agent node obtain the minimum total route，an effective routing scheme of energy-constrained mobile agent node in sparse wireless sensor networks was presented. The mathematic model of the route of mobile agent node was built firstly，and then the whole wireless sensor network was split into different subsets according to the energy of the mobile agent node. …”
Get full text

Noise filtering method in images in sparse-view covers by Y.V. Goshin, D.V. Arkhipova

“…This paper presents a general approach to image restoration using sparse representation and pre-prepared experimental results for a simple implementation of this convention.…”
Get full text

Data Downloading on the Sparse Coverage-Based Wireless Networks by Helal Chowdhury, Janne Lehtomäki, Juha-Pekka Mäkelä, Sastri Kota

“…Numerical values are presented for the IEEE 802.11n standard. The numerical results verify that the new proposed technique can be used as an alternative to the simulations to evaluate the performance of sparse coverage-based wireless networks.…”
Get full text

Sparse Multichannel Decomposition of Electrodermal Activity With Physiological Priors by Samiul Alam, Md. Rafiul Amin, Rose T. Faghih

“…Finally, we develop a block coordinate descent method for SC signal decomposition by employing a generalized cross-validation sparse recovery approach while including physiological priors. …”
Get full text

A Joint Sparse Space-Time Adaptive Processing Method by Jinfeng Hu, Yuyan Xia, Huiyong Li, Jing Liang, Tao Lin

“…At present, most of the sparse space-time adaptive processing(STAP) methods focus on exploiting the clutter sparsity. …”
Get full text

Sparse scalegram decomposition algorithm for condition monitoring of rotary equipment by Y. P. Aslamov, I. G. Davydov, N. V. Kosmach, R. V. Tolkach

“…The developed algorithm is proposed to be used for monitoring the technical condition of rotary equipment. The article presents the testing results of the sparse scalegram decomposition algorithm on the vibration signals of industrial equipment.…”
Get full text

Exact CS Reconstruction Condition of Undersampled Spectrum-Sparse Signals by Ying Luo, Qun Zhang, Guozheng Wang, Youqing Bai

“…Then we present the exact CS reconstruction condition of undersampled spectrum-sparse signals, which is valuable for digital signal compression.…”
Get full text

Global Convergence of Schubert’s Method for Solving Sparse Nonlinear Equations by Huiping Cao

“…Schubert’s method is an extension of Broyden’s method for solving sparse nonlinear equations, which can preserve the zero-nonzero structure defined by the sparse Jacobian matrix and can retain many good properties of Broyden’s method. …”
Get full text

Sparse Cumulants Fitting for Direction-of-Arrival Estimation without Redundancy by Shuang Li, Xiaoxiao Jiang, Sai Ma, Yingguan Wang

“…Simulation results are presented to illustrate the effectiveness and efficiency of the proposed method.…”
Get full text

Decenter Error Sensing Technology of Sparse Aperture Telescope Systems by Yang Liu, Haotong Ma, Bo Qi

“…In this paper, we firstly present an approach to sense the decenter of the sparse aperture telescope using the multi-beam interference method based on phase shift and centroid extraction algorithm. …”
Get full text