Results 1 to 10 of about 3,600,645 (297)
Measurement and Data Correction of Channel Sampling Timing Walk-Off of Photonic Analog-to-Digital Converter in Signal Recovery [PDF]
MicromachinesA two-channel, time–wavelength interleaved photonic analog-to-digital converter (PADC) system with a sampling rate of 10.4 GSa/s was established, and a concise method for measuring and data correcting the channel sampling timing walk-off of PADCs for ...
Junli Qi +11 more
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Continuous-Time Sparse Signal Recovery
IEEE AccessThis study investigates a continuous-time method for sparse signal recovery, which is suitable for analog optical circuit implementation. The proposed method is defined by a nonlinear ordinary differential equation (ODE) derived from the gradient flow ...
Tadashi Wadayama, Ayano Nakai-Kasai
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Image-Label Recovery on Fashion Data Using Image Similarity from Triple Siamese Network
Technologies, 2021 Weakly labeled data are inevitable in various research areas in artificial intelligence (AI) where one has a modicum of knowledge about the complete dataset. One of the reasons for weakly labeled data in AI is insufficient accurately labeled data. Strict
Debapriya Banerjee +2 more
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The lock-in amplifier: what is it for? how to build one?
Revista Brasileira de Ensino de Física, 2022 A short description of the lock-in technique gives an idea of the working principle of these useful devices, that are spreadly used in weak signals detection, but rarely treated in introductory courses.
Giacomo Torzo, Giorgio Delfitto
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Signal Recovery by Stochastic Optimization [PDF]
Automation and Remote Control, 2019 We discuss an approach to signal recovery in Generalized Linear Models (GLM) in which the signal estimation problem is reduced to the problem of solving a stochastic monotone variational inequality (VI). The solution to the stochastic VI can be found in a computationally efficient way, and in the case when the VI is strongly monotone we derive finite ...
Anatoli B. Juditsky +1 more
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Mathematics, 2022 This article considers a parallel monotone hybrid algorithm for a finite family of G-nonexpansive mapping in Hilbert spaces endowed with graphs and suggests iterative schemes for finding a common fixed point by the two different hybrid projection methods.
Suthep Suantai +3 more
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Greedy signal recovery review [PDF]
2008 42nd Asilomar Conference on Signals, Systems and Computers, 2008 The two major approaches to sparse recovery are L1-minimization and greedy methods. Recently, Needell and Vershynin developed Regularized Orthogonal Matching Pursuit (ROMP) that has bridged the gap between these two approaches. ROMP is the first stable greedy algorithm providing uniform guarantees.
Deanna Needell +2 more
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Dual-Mic Speech Enhancement Based on TF-GSC with Leakage Suppression and Signal Recovery
Applied Sciences, 2021 The transfer function-generalized sidelobe canceller (TF-GSC) is one of the most popular structures for the adaptive beamformer used in multi-channel speech enhancement. Although the TF-GSC has shown decent performance, a certain amount of steering error
Hansol Kim, Jong Won Shin
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Approximation of fixed points for Garcia-Falset mappings in a uniformly convex Banach space
Results in Nonlinear Analysis, 2021 The aim of this research is to introduce a novel iterative technique termed CC-iteration for identifying the fixed points of Garcia-Falset mappings.
Tanapat Chalarux, Khuanchanok Chaichana
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Experimental Characterization of an Embossed Capacitive Micromachined Ultrasonic Transducer Cell
Micromachines, 2020 Capacitive Micromachined Ultrasonic Transducer (CMUT) is a promising ultrasonic transducer in medical diagnosis and therapeutic applications that demand a high output pressure.
Yuanyu Yu +8 more
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