Results 21 to 30 of about 17,625 (278)
Teknika, 2023 Technological developments in the automotive industry have experienced significant progress in recent years. Currently, many electric vehicles are being produced as an environmentally friendly alternative to vehicles.
Naufal Avilandi Poedjimartojo +2 more
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Undersampled digital holography
Optics Express, 2009 Acceptable signal recovery of the band-pass signals typically used in the off-axis digital holography systems is possible in the undersampling conditions. A typical system is considered in which the angle between two beams represents a variable parameter.
Demoli, Nazif +4 more
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Sparsity/undersampling tradeoffs in anisotropic undersampling, with applications in MR imaging/spectroscopy [PDF]
Information and Inference: A Journal of the IMA, 2018 Abstract We study anisotropic undersampling schemes like those used in multi-dimensional magnetic resonance (MR) spectroscopy and imaging, which sample exhaustively in certain time dimensions and randomly in others. Our analysis shows that anisotropic undersampling schemes are equivalent to certain block-diagonal measurement systems.
Hatef Monajemi, David L. Donoho
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Information, 2023 Educational data mining is capable of producing useful data-driven applications (e.g., early warning systems in schools or the prediction of students’ academic achievement) based on predictive models.
Tarid Wongvorachan +2 more
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An Efficient CRT Based Algorithm for Frequency Determination from Undersampled Real Waveform
Sensors, 2023 The Chinese Remainder Theorem (CRT) based frequency estimation has been widely studied during the past two decades. It enables one to estimate frequencies by sub-Nyquist sampling rates, which reduces the cost of hardware in a sensor network.
Yao-Wen Zhang +2 more
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MPSUBoost: A Modified Particle Stacking Undersampling Boosting Method
IEEE Access, 2022 Class imbalance problems are prevalent in the real world. In such cases, traditional supervised algorithms tend to have difficulty in recognizing minority data because the models are likely to maximize prediction accuracy by simply ignoring minority data.
Sang-Jin Kim, Dong-Joon Lim
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Undersampled Windowed Exponentials and Their Applications [PDF]
Acta Applicandae Mathematicae, 2018 Referees comment incorporated, To appear in Acta.
Chun-Kit Lai, Sui Tang
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Millimeter-Wave InSAR Image Reconstruction Approach by Total Variation Regularized Matrix Completion
Remote Sensing, 2018 Millimeter-wave interferometric synthetic aperture radiometer (InSAR) can provide high-resolution observations for many applications by using small antennas to achieve very large synthetic aperture.
Yilong Zhang +4 more
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SNR Degradation in Undersampled Phase Measurement Systems
Sensors, 2016 A wide range of measuring applications rely on phase estimation on sinusoidal signals. These systems, where the estimation is mainly implemented in the digital domain, can generally benefit from the use of undersampling to reduce the digitizer and ...
David Salido-Monzú +3 more
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Applied Sciences, 2022 A covariance matrix is an important parameter in many computational applications, such as quantitative trading. Recently, a global minimum variance portfolio received great attention due to its performance after the 2007–2008 financial crisis, and this ...
Tuan Tran, Nhat Nguyen, Trung Nguyen
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