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Objective and efficient terahertz signal denoising by transfer function reconstruction [PDF]
, 2020 As an essential processing step in many disciplines, signal denoising efficiently improves data quality without extra cost. However, it is relatively under-utilized for terahertz spectroscopy.
Chen, Xuequan +3 more
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A time-frequency denoising method for single-channel event-related EEG
Frontiers in Neuroscience, 2022 IntroductionElectroencephalogram (EEG) acquisition is easily affected by various noises, including those from electrocardiogram (ECG), electrooculogram (EOG), and electromyogram (EMG).
Wenqiang Yan, Yongcheng Wu
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Wavelet based joint denoising of depth and luminance images [PDF]
, 2007 In this paper we present a new method for joint denoising of depth and luminance images produced by time-of-flight camera. Here we assume that the sequence does not contain outlier points which can be present in the depth images.
Jovanov, Ljubomir +2 more
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Fuzzy multiwavelet denoising on ECG signal [PDF]
Electronics Letters, 2003 Since different multiwavelets, pre- and post-filters have different impulse and frequency responses characteristics, different multiwavelets, pre- and post-filters should be selected, integrated and applied at different noise levels if a signal is corrupted by an additive white Gaussian noise (AWGN).
Ho, C Y-F +4 more
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Content adaptive wavelet based method for joint denoising of depth and luminance images [PDF]
, 2007 In this paper we present a new method for joint denoising of depth and luminance images produced by time-of-flight camera. Here we assume that the sequence does not contain outlier points which can be present in the depth images.
Jovanov, Ljubomir +3 more
core +1 more source
Sensors, 2017 As the sound signal of ships obtained by sensors contains other many significant characteristics of ships and called ship-radiated noise (SN), research into a denoising algorithm and its application has obtained great significance. Using the advantage of
Yuxing Li, Yaan Li, Xiao Chen, Jing Yu
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A novel denoising method for non‐linear and non‐stationary signals
IET Signal Processing, 2023 Signal denoising is a crucial step in signal analysis. Various procedures have been attempted by researchers to remove the noise while preserving the effective components of the signal. One of the most successful denoising methods currently in use is the
Honglin Wu +6 more
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Atmosphere, 2021 The lidar is susceptible to the dark current of the detector and the background light during the measuring process, which results in a significant amount of noise in the lidar return signal.
Minghuan Hu +4 more
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Denoising of MEMS Vector Hydrophone Signal Based on Empirical Model Wavelet Method
Proceedings, 2019 Underwater acoustic technology is a major method in current ocean research and exploration, which support the detection of seabed environment and marine life.
Huichao Yan, Linmei Zhang
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SCSA based MATLAB pre-processing toolbox for 1H MR spectroscopic water suppression and denoising [PDF]
, 2018 In vivo 1H Magnetic Resonance Spectroscopy (MRS) is a useful tool in assessing neurological and metabolic disease, and to improve tumor treatment. Different pre-processing pipelines have been developed to obtain optimal results from the acquired data ...
Achten, Eric +4 more
core +2 more sources