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Advanced Search Results For "SIGNAL processing"

1 - 10 of 182,611 results for
 "SIGNAL processing"
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Adaptive noise reduction for power Doppler imaging using SVD filtering in the channel domain and coherence weighting of pixels.

Publication Type: Academic Journal

Source(s): Physics in medicine and biology [Phys Med Biol] 2023 Jan 02; Vol. 68 (2). Date of Electronic Publication: 2023 Jan 02.

Abstract: Objective . Ultrafast power Doppler (UPD) is an ultrasound method that can image blood flow at several thousands of frames per second. In particular, the high number of data provided by UPD enables the use of singular value decomposition (SVD) as a clu...

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Denoising the hob vibration signal using improved complete ensemble empirical mode decomposition with adaptive noise and noise quantization strategies.

Publication Type: Academic Journal

Source(s): ISA transactions [ISA Trans] 2022 Dec; Vol. 131, pp. 715-735. Date of Electronic Publication: 2022 May 27.

Authors:

Abstract: A novel denoising method combining complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and noise quantization strategies is proposed to solve the problem of the noise of the hob vibration signals disturbing the condition monito...

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A Denoising Method for Mining Cable PD Signal Based on Genetic Algorithm Optimization of VMD and Wavelet Threshold.

Publication Type: Academic Journal

Source(s): Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Dec 01; Vol. 22 (23). Date of Electronic Publication: 2022 Dec 01.

Authors:

Abstract: When the pulse current method is used for partial discharge (PD) monitoring of mining cables, the detected PD signals are seriously disturbed by the field noise, which are easily submerged in the noise and cannot be extracted. In order to realize the e...

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EWT-IIT: a surface electromyography denoising method.

Publication Type: Academic Journal

Source(s): Medical & biological engineering & computing [Med Biol Eng Comput] 2022 Dec; Vol. 60 (12), pp. 3509-3523. Date of Electronic Publication: 2022 Oct 11.

Authors:

Abstract: Surface electromyography (sEMG) is often interfered by noise, which has a very important impact on the follow-up research based on sEMG signals, such as motion intention recognition, disease diagnosis, and human-computer interaction. In this paper, an ...

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Adaptive subarray coherence based post-filter using array gain in medical ultrasound imaging.

Publication Type: Academic Journal

Source(s): Ultrasonics [Ultrasonics] 2022 Dec; Vol. 126, pp. 106808. Date of Electronic Publication: 2022 Jul 30.

Abstract: This paper presents an adaptive subarray coherence-based post-filter (ASCBP) applied to the eigenspace-based forward-backward minimum variance (ESB-FBMV) beamformer to simultaneously improve image quality and beamformer robustness. Additionally, the AS...

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A solution for co-frequency and low SNR problems in heart rate estimation based on photoplethysmography signals.

Publication Type: Academic Journal

Source(s): Medical & biological engineering & computing [Med Biol Eng Comput] 2022 Dec; Vol. 60 (12), pp. 3419-3433. Date of Electronic Publication: 2022 Oct 03.

Authors:

Abstract: In order to realize high-accuracy heart rate (HR) estimation based on photoplethysmography (PPG) under the scenes of low signal-to-noise ratio (SNR) and co-frequency caused by motion artifacts (MAs), this paper presents a novel framework integrating tw...

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Real-time noise cancellation with deep learning.

Publication Type: Academic Journal

Source(s): PloS one [PLoS One] 2022 Nov 21; Vol. 17 (11), pp. e0277974. Date of Electronic Publication: 2022 Nov 21 (Print Publication: 2022).

Abstract: Biological measurements are often contaminated with large amounts of non-stationary noise which require effective noise reduction techniques. We present a new real-time deep learning algorithm which produces adaptively a signal opposing the noise so th...

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A lightweight U-net for ECG denoising using knowledge distillation.

Publication Type: Academic Journal

Source(s): Physiological measurement [Physiol Meas] 2022 Nov 03; Vol. 43 (11). Date of Electronic Publication: 2022 Nov 03.

Authors:

Abstract: Objective. Electrocardiogram (ECG) signals are easily polluted by various noises which are likely to have adverse effects on subsequent interpretations. Research on model lightweighting can promote the practical application of deep learning-based ECG d...

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A Simplified Correlation Index for Fast Real-Time Pulse Shape Recognition.

Publication Type: Academic Journal

Source(s): Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Oct 11; Vol. 22 (20). Date of Electronic Publication: 2022 Oct 11.

Abstract: A simplified correlation index is proposed to be used in real-time pulse shape recognition systems. This index is similar to the classic Pearson's correlation coefficient, but it can be efficiently implemented in FPGA devices with far fewer logic resou...

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Elevator Car Vibration Signal Denoising Method Based on CEEMD and Bilateral Filtering.

Publication Type: Academic Journal

Source(s): Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Sep 01; Vol. 22 (17). Date of Electronic Publication: 2022 Sep 01.

Authors:

Abstract: Elevator car vibration signals are important information to monitor and diagnose the operating status of elevators, but during the process of vibration signals acquisition, vibration signals are always inevitably disturbed by noise, which affects furth...

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