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Li-Na Wang, Hongxu Wei, Yuchen Zheng, Junyu Dong and Guoqiang Zhong
Ensemble learning, online learning and deep learning are very effective and versatile in a wide spectrum of problem domains, such as feature extraction, multi-class classification and retrieval. In this paper, combining the ideas of ensemble learning, on...
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Nicolas Fabre
We present a linear optical protocol for teleporting and correcting both temporal and frequency errors in two time?frequency qubit states. The first state is the frequency (or time-of-arrival) cat qubit, which is a single photon in a superposition of two...
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Yan Xu, Huiyue Yi, Wuxiong Zhang and Hui Xu
Estimating the frequencies of multiple superimposed exponentials in noise is an important problem due to its various applications in engineering. In order to obtain good inhibition of spectral leakage and improve the estimation accuracy, an improved Chir...
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Mikhail Babenko, Anton Nazarov, Maxim Deryabin, Nikolay Kucherov, Andrei Tchernykh, Nguyen Viet Hung, Arutyun Avetisyan and Victor Toporkov
Error detection and correction codes based on redundant residue number systems are powerful tools to control and correct arithmetic processing and data transmission errors. Decoding the magnitude and location of a multiple error is a complex computationa...
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Kelin Lu, Bingyu Jin and Ning Zhang
The radome refraction problem gives rise to guidance performance deterioration for homing missiles. Aiming to eliminate the effect of radome refraction on the radar seeker, a novel method is proposed for correcting the radome-induced measurement error by...
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