Results 1 to 10 of about 152,933 (168)
Weak Signal Processing Methods Based on Improved HHT and Filtering Techniques for Steel Wire Rope
Applied Sciences, 2022 As one of the most important processes in steel wire rope inspection, defect signal processing is of great significance in guaranteeing safety and precision measurement. Aiming at the weak signal detection of steel wire rope with mixed strands and noise,
Shiwei Liu +3 more
doaj +3 more sources
Using effective signal filtering methods to data processing from a fiber-optic temperature sensor [PDF]
Омский научный вестник, 2021 The article deals with signal processing of a fiber-optic temperature sensor using extremal filtering and filtering with Wavelet transforms. The aim of this work is to find a way to reduce the response time in a fiber-optic temperature sensor by ...
I. A. Ershov
doaj +1 more source
Learning spatial filters from EEG signals with Graph Signal Processing methods
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021 In this paper, we propose to learn a spatial filter directly from Electroencephalography (EEG) signals using graph signal processing tools. We combine a graph learning algorithm with a high-pass graph filter to remove spatially large signals from the raw data. This approach increases topographical localization, and attenuates volume-conducted features.
Humbert, Pierre +2 more
openaire +3 more sources
An approach to adaptive filtering with variable step size based on geometric algebra
IET Communications, 2022 Recently, adaptive filtering algorithms have attracted much more attention in the field of signal processing. By studying the shortcoming of the traditional real‐valued fixed step size adaptive filtering algorithm, this paper proposed the novel approach ...
Haiquan Wang +3 more
doaj +1 more source
IET Control Theory & Applications, 2021 This paper is concerned with secure state estimation of non‐linear systems under malicious cyber‐attacks. The application of target tracking over a wireless sensor network is investigated.
Mahdieh Adeli +4 more
doaj +1 more source
Filtered Variation method for denoising and sparse signal processing [PDF]
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012 We propose a new framework, called Filtered Variation (FV), for denoising and sparse signal processing applications. These problems are inherently ill-posed. Hence, we provide regularization to overcome this challenge by using discrete time filters that are widely used in signal processing.
Kivanç Köse +2 more
openaire +2 more sources
A non‐uniform NSAF‐SF adaptive algorithm
Electronics Letters, 2021 Speech enhancement and acoustic noise reduction are two important tasks where adaptive filtering algorithms emerge as a competitive solution. Unfortunately, in such applications the convergence rate of the system identification is hampered when the ...
P. P. S. Xavier +2 more
doaj +1 more source
Electronics Letters, 2021 In multi‐target tracking, sensor with finite resolution generates merged measurements, which means that a group of targets might produce only one measurement, and such phenomenon could lead to degraded tracking performance if it is not considered.
Quanrui Li +3 more
doaj +1 more source
Fractional‐order complex correntropy algorithm for adaptive filtering in α‐stable environment
Electronics Letters, 2021 In adaptive filtering applications, the Gaussian distribution cannot be used to model the signal/noise with frequent spikes accurately. In fact, the rational model to simulate the behaviour of such signal/noise is the α‐stable distribution process.
Chen Qiu +3 more
doaj +1 more source
Multi‐sensor particle filtering with multi‐step randomly delayed measurements
IET Science, Measurement & Technology, 2021 This paper develops particle filtering for multi‐sensor systems with randomly delayed measurements, where the general case that random delay can be multi‐step rather than one‐step or two‐step is considered.
Yunqi Chen, Zhibin Yan
doaj +1 more source