Results 11 to 20 of about 799,916 (290)
6G-oriented cross-modal signal reconstruction technology
Tongxin xuebao, 2022 Objectives:It is well known that multimodal services containing audio,video and haptics such as mixed reality,digital twin and metaverse are bound to become killer applications in the 6G era,however,the large amount of multimodal data generated by such ...
Ang LI +3 more
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EURASIP Journal on Advances in Signal Processing, 2023 Sampling and reconstruction play a critical role in signal processing. The non-ideal sampling conditions motivate the development of the sampling theory. In this paper, associated with multiple non-ideal conditions, we discuss the nonuniform sampling and
Liyun Xu, Wei Li
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High resolution signal reconstruction [PDF]
2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721), 2004 We present a framework for speech enhancement and robust speech recognition that exploits the harmonic structure of speech. We achieve substantial gains in signal-to-noise ratio (SNR) of enhanced speech as well as considerable gains in accuracy of automatic speech recognition in very noisy conditions.
T. Kristjansson, J. Hershey
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Reconstructing Binary Signals from Local Histograms [PDF]
Entropy, 2022 In this paper, we considered the representation power of local overlapping histograms for discrete binary signals. We give an algorithm that is linear in signal size and factorial in window size for producing the set of signals, which share a sequence of densely overlapping histograms, and we state the values for the sizes of the number of unique ...
Jon Sporring, Sune Darkner
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Sensors, 2021 Strain measurements using fibre Bragg grating (FBG) optical sensors are becoming ever more commonplace. However, in some cases, these measurements can become corrupted by sudden jumps in the signal, which manifest as spikes or step-like offsets in the ...
Dominik Johannes Marius Fallais +4 more
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Signal Reconstruction via H-infinity Sampled-Data Control Theory: Beyond the Shannon Paradigm [PDF]
, 2012 This paper presents a new method for signal reconstruction by leveraging sampled-data control theory. We formulate the signal reconstruction problem in terms of an analog performance optimization problem using a stable discrete-time filter.
Khargonekar, Pramod P. +2 more
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Sensors, 2020 Important state parameters, such as torque and angle obtained from the servo control and drive system, can reflect the operating condition of the equipment.
Dongxiao Wang +3 more
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IEEE Access, 2023 Cardiotocography (CTG) is a clinical procedure that is used to track and gauge the severity of fetal distress. Although CTG is the most often used equipment to monitor and assess the health of the fetus, the high rate of false positive results due to ...
Sibel Ozturk +4 more
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Iterative Reconstruction of Signals on Graph [PDF]
IEEE Signal Processing Letters, 2020 We propose an iterative algorithm to interpolate graph signals from only a partial set of samples. Our method is derived from the well known Papoulis-Gerchberg algorithm by considering the optimal value of a constant involved in the iteration step. Compared with existing graph signal reconstruction algorithms, the proposed method achieves similar or ...
Emanuele Brugnoli +2 more
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On signal reconstruction from FROG measurements [PDF]
Applied and Computational Harmonic Analysis, 2020 Phase retrieval refers to recovering a signal from its Fourier magnitude. This problem arises naturally in many scientific applications, such as ultra-short laser pulse characterization and diffraction imaging. Unfortunately, phase retrieval is ill-posed for almost all one-dimensional signals. In order to characterize a laser pulse and overcome the ill-
Bendory, Tamir +2 more
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