Results 51 to 60 of about 34,534 (182)

(Compressed) sensing and sensibility [PDF]

Proceedings of the National Academy of Sciences, 2011
For decades, researchers have built computer models of molecular interactions to predict properties of new molecules (1). These models take the form of potential functions, equations that can be used predict the molecular energy of interaction. Potential functions have very broad applications. Other than ab initio quantum mechanics-based approaches (2),
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Sparse Three-dimensional Imaging Based on Hough Transform for Forward-looking Array SAR in Low SNR

Leida xuebao, 2017
The performance of sparse reconstruction algorithm of compressive sensing in low Signal-to-Noise Ratio (SNR) is lower, and the quality of sparse three-dimensional imaging for forward-looking array synthetic aperture radar in low SNR is reduced greatly ...
Liu Xiangyang, Yang Jungang, Meng Jin, Zhang Xiao, Niu Dezhi   +4 more
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DCT and SVD Sparsity-Based Compressive Learning on Lettuces Classification

Journal of Applied Engineering and Technological Science
Compressive Sensing (CS) technique in image compression represents efficient signal which offering solutions in image classification where the resources are constrained especially on a large image processing, storage resource, and computing performance.
Lutvi Murdiansyah Murdiansyah, Gelar Budiman, Indrarini Irawati, Sugondo Hadiyoso, A. V. Senthil Kumar   +4 more
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Toward deterministic compressed sensing [PDF]

Proceedings of the National Academy of Sciences, 2013
During the past decade, compressed sensing has delivered significant advances in the theory and application of measuring and compressing data. Consider capturing a 10-megapixel image with a digital camera. Emailing an image of this size requires an unnecessary amount of storage space and bandwidth.
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K-cluster-valued compressive sensing for imaging

EURASIP Journal on Advances in Signal Processing, 2011
The success of compressive sensing (CS) implies that an image can be compressed directly into acquisition with the measurement number over the whole image less than pixel number of the image.
Xu Mai, Lu Jianhua
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Compressive Sensing Based Adaptive Defence Against Adversarial Images [PDF]

, 2021
Akash Kumar Gupta, Arpan Chattopadhyay, Darpan Kumar Yadav   +2 more
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Minimization of Fraction Function Penalty in Compressed Sensing [PDF]

, 2019
Haiyang Li, Qian Zhang, Angang Cui, Jigen Peng   +3 more
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Deterministic Construction of Compressed Sensing Measurement Matrix with Arbitrary Sizes via QC-LDPC and Arithmetic Sequence Sets [PDF]

, 2023
Yue Wang, Yali Qin, Hongliang Ren
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Interference-Robust Processing of OFDM Radar Signals Using Compressed Sensing

, 2020
Christina Knill, Benedikt Schweizer, Christian Waldschmidt   +2 more
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Two-Dimensional Direction of Arrival (DOA) Estimation for Rectangular Array via Compressive Sensing Trilinear Model

International Journal of Antennas and Propagation, 2015
We investigate the topic of two-dimensional direction of arrival (2D-DOA) estimation for rectangular array. This paper links angle estimation problem to compressive sensing trilinear model and derives a compressive sensing trilinear model-based angle ...
Huaxin Yu, Xiaofeng Qiu, Xiaofei Zhang, Chenghua Wang, Gang Yang   +4 more
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