SVD based technique for noise reduction in electroencephalographic signals

Sadasivan, P.K.; Dutt, D. Narayana

doi:10.1016/s0165-1684(96)00129-6

Cited by 85 publications

(52 citation statements)

References 12 publications

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“…In particular, as a noise reduction technique, it is also utilized elsewhere in speech and audio applications. [24][25][26] The reconstructed signal is shown in Fig. 8.…”

Section: Svd Filteringmentioning

confidence: 99%

Thermally Induced Bias Drift Integrated Compensation for the IFOG Strapdown Inertial Navigation System

Zhang

Chen

Yang

et al. 2014

Trans. Japan Soc. Aero. S Sci.

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The large thermally induced bias drift is the main factor affecting the performance of the interferometer fiber optic gyroscope (IFOG) in practical engineering applications. The thermally induced bias drift is investigated in order to improve the accuracy of IFOG in the strapdown inertial navigation system (SINS). A triaxial integrated linear multivariable model (TILMM) is presented based on experiments. The model is composed of the temperature gradient, polynomial temperature and temperature square. Due to the linear character of the model, model parameters are identified from the temperature and system outputs by least-square (LS) estimation methods. The drift data sets are collected to validate the effectiveness of this model. The rough experiment data is preprocessed by the proposed sliding window median absolute deviation (SWMAD) technology to identify outliers firstly, then the gradient inverse weighted (GIW) filter is used to initially lower the noise, and the singular value decomposition (SVD) is used to reduce the noise of the experiment data. The verification experiment of compensation is conducted and shows that the TILMM is effective, and SINS bias stability is improved in comparison with single-axis compensation.

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“…In particular, as a noise reduction technique, it is also utilized elsewhere in speech and audio applications. [24][25][26] The reconstructed signal is shown in Fig. 8.…”

Section: Svd Filteringmentioning

confidence: 99%

Thermally Induced Bias Drift Integrated Compensation for the IFOG Strapdown Inertial Navigation System

Zhang

Chen

Yang

et al. 2014

Trans. Japan Soc. Aero. S Sci.

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“…1, the SSP acts as a sliding-window noise reduction block. To illustrate the difference between the SSP and the conventional frame-based operation (e.g., see [21], [22]), Fig. 2 is given.…”

Section: B Sliding Subspace Projectionmentioning

confidence: 99%

Stereophonic noise reduction using a combined sliding subspace projection and adaptive signal enhancement

Hoya¹,

Tanaka²,

Cichocki

et al. 2005

IEEE Trans. Speech Audio Process.

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“…Several methods, such as epoch rejection, regression techniques [4], or principal component analysis [5], have been used to deal with different kinds of artifacts in Manuscript received April 6, 2006 electroencephalogram (EEG) and MEG recordings. Recently, independent component analysis (ICA) [6] has become popular to reject artifacts from EEG and MEG data [7]- [15], since it needs neither previous information nor orthogonality between artifacts and useful signals.…”

Section: Introductionmentioning

confidence: 99%

Rejection of artifact sources in magnetoencephalogram background activity using independent component analysis

Escudero

Hornero

Abásolo

et al. 2006

2006 International Conference of the IEEE Engineering in Medicine and Biology Society

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Abstract-The aim of this pilot study was to assess the usefulness of independent component analysis (ICA) to detect cardiac artifacts and power line interferences in magnetoencephalogram (MEG) recordings. We recorded MEG signals from six subjects with a 148-channel whole-head magnetometer (MAGNES 2500 WH, 4D Neuroimaging). Epochs of 50 s with power line noise, cardiac, and ocular artifacts were selected for analysis. We applied a statistical criterion to determine the number of sources, and a robust ICA algorithm to decompose the MEG epochs. Skewness, kurtosis, and a spectral metric were used to mark the studied artifacts. We found that the power line interference could be easily detected by its frequency characteristics. Moreover, skewness outperformed kurtosis when identifying the cardiac artifact.

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SVD based technique for noise reduction in electroencephalographic signals

Cited by 85 publications

References 12 publications

Thermally Induced Bias Drift Integrated Compensation for the IFOG Strapdown Inertial Navigation System

Thermally Induced Bias Drift Integrated Compensation for the IFOG Strapdown Inertial Navigation System

Stereophonic noise reduction using a combined sliding subspace projection and adaptive signal enhancement

Rejection of artifact sources in magnetoencephalogram background activity using independent component analysis

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