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
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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
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On reconstruction methods for processing finite-length signals with paraunitary filter banks [PDF]
IEEE Transactions on Signal Processing, 1995 New expressions are developed for the perfect reconstruction of the boundary regions of a finite-length signal after subband processing. The time-invariant filter bank is required to be uniform and paraunitary, using FIR filters regardless of phase or symmetry.
Ricardo L. de Queiroz, K. R. Rao 0001
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IMU-Based Respiratory Signal Processing Using Cascade Complementary Filter Method
Journal of Sensors, 2022 The purpose of this paper is to propose a cascade complementary filter (CCF) for tracking abdominal or diaphragmatic movement induced by respiratory activity. An inertial sensor (3 DOF accelerometer and 3 DOF gyroscope) is mounted on the upper abdomen, allowing the tilt value of the upper abdomen to be measured.
Bayu Erfianto, Achmad Rizal
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Methods of temporal signal processing in an adaptive transversal filter
Journal of Radio ElectronicsA single-channel adaptive transversal filter based on a multi-tap delay line is considered. It is assumed that the filter is affected by broadband interference, which is a rather complicated case in practice. This problem is typical for radar systems and electronic warfare systems. Two methods of digital signal processing are proposed. The first method
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Quantum-Enabled Signal Processing: a Method for Quantum Filter Design
In this note the authors propose a way to design low pass filter taps using quantum mechanics.
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A Denoising Algorithm for Maglev Gyro Jump Data Based on Bayesian Ensemble Time-Series Segmentation. [PDF]
Sensors (Basel)Guo B +5 more
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TFCdetector: Multivariable time series anomaly detection with time-frequency constraints. [PDF]
PLoS OneFan J, Zhao J, Ma J, Cai Y.
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Low-latency stage-adaptive cascade architecture for real time non-stationary noise filtering. [PDF]
PLoS OneHan-Trong T +3 more
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