15 papers · ranked by Valyu relevance
Shang Zhang, Yuhan Dong, Hongyan Fu, Shao-Lun Huang + 1 more
The miniaturization of spectrometer can broaden the application area of spectrometry, which has huge academic and industrial value. Among various miniaturization approaches, filter-based miniaturization is a promising implementation by utilizing broadband filters with distinct transmission functions. Mathematically…
Chunsheng Yan
Title: Summary Spectroscopic techniques are indispensable for material characterization, yet their weak signals remain highly prone to interference from environmental noise, instrumental artifacts, sample impurities, scattering effects, and radiation-based distortions (e.g., fluorescence and cosmic rays). These…
Nan Xia, Yunbao Huang, Haiyan Li, Pu Li + 2 more
In the experiment of inertial confinement fusion, soft X-ray spectrum unfolding can provide important information to optimize the design of the laser and target. As the laser beams increase, there are limited locations for installing detection channels to obtain measurements, and the soft X-ray spectrum can be…
Renjie Wu, Yuqi Li, Xijiong Xie, Zhijie Lin
Multispectral filter array (MSFA)-based imaging is a compact, practical technique for snapshot spectral image capturing and reconstruction. The imaging and reconstruction quality is highly influenced by the spectral sensitivities and spatial arrangement of channels on MSFAs, and the used reconstruction method. In order…
Yanbo Gao, Hejia Pan, Yajuan Sheng, Rui Wen + 2 more
Computational spectrometers based on coded measurement and computational reconstruction have great application prospects. This paper proposes a computational spectrometer that has a low cost, is easy to implement in hardware, and has high reconstruction accuracy. The proposed computational spectrometer uses low-cost…
Xiaobo Qu, Di Guo, Xue Cao, Shuhui Cai + 1 more
Reducing the acquisition time for two-dimensional nuclear magnetic resonance (2D NMR) spectra is important. One way to achieve this goal is reducing the acquired data. In this paper, within the framework of compressed sensing, we proposed to undersample the data in the indirect dimension for a type of self-sparse 2D…
Jose Velasco, Daniel Pizarro, Javier Macias-Guarasa
This paper presents a novel approach for indoor acoustic source localization using sensor arrays. The proposed solution starts by defining a generative model, designed to explain the acoustic power maps obtained by Steered Response Power (SRP) strategies. An optimization approach is then proposed to fit the model to…
Shihao Wang, Qi Wang, Guopeng Zhu, Lei Liu + 5 more
'Tingxin Ren' 'Yue Zhou' 'Hao Jin' 'Qifa Zhou'] Passive wireless surface acoustic wave (SAW) sensors are widely adopted for monitoring the safety status of industrial equipment due to their compact size and maintenance-free operation. Replacing traditional discrete-component interrogators with software-defined radio…
Xiaonan Pan, Miao Yuan, Jianrui Zhang, Xiaojun Yu + 1 more
Optical coherence tomography (OCT) is an optical imaging modality that provides high-resolution cross-sectional imaging of biological tissues noninvasively. In Fourier-domain OCT, axial resolution is governed by both the center wavelength and the spectral bandwidth of the light source; therefore, limited or…
Chundi Zheng, Huihui Chen, Aiguo Wang
We propose a sparsity-aware noise subspace fitting (SANSF) algorithm for direction-of-arrival (DOA) estimation using an array of sensors. The proposed SANSF algorithm is developed from the optimally weighted noise subspace fitting criterion. Our formulation leads to a convex linearly constrained quadratic programming…
Alexandra Shchukina, Paweł Kasprzak, Rupashree Dass, Michał Nowakowski + 1 more
'Michał Nowakowski' 'Krzysztof Kazimierczuk'] Multidimensional NMR can provide unmatched spectral resolution, which is crucial when dealing with samples of biological macromolecules. The resolution, however, comes at the high price of long experimental time. Non-uniform sampling (NUS) of the evolution time domain…
Na Li, Xinghui Yin, Haitao Li, Andrea Trucco
In view of the fact that most of the traditional algorithms for reconstructing underwater acoustic signals from low-dimensional compressed data are based on known sparsity, a sparsity adaptive and variable step-size matching pursuit (SAVSMP) algorithm is proposed. Firstly, the algorithm uses Restricted Isometry…
Gilson Vieira, Edson Amaro, Luiz A. Baccalá
To overcome the limitations of independent component analysis (ICA), today’s most popular analysis tool for investigating whole-brain spatial activation in resting state functional magnetic resonance imaging (fMRI), we present a new class of local dimension-reduced dynamical spatio-temporal model which dispenses the…
Tianjin Huang, Li Jia, Massimo Menenti, Jing Lu + 2 more
'Guangcheng Hu'] We present in this paper a polynomial fitting method applicable to segments of footprints measured by the Geoscience Laser Altimeter System (GLAS) to estimate glacier thickness change. Our modification makes the method applicable to complex topography, such as a large mountain glacier. After a full…
Xu Shanhua, Ren Songbo, Wang Youde, Helmut Ahammer
To study multi-fractal behavior of corroded steel surface, a range of fractal surfaces of corroded surfaces of Q235 steel were constructed by using the Weierstrass-Mandelbrot method under a high total accuracy. The multi-fractal spectrum of fractal surface of corroded steel was calculated to study the multi-fractal…