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Investigation of the intrinsic brain networks using the resting-state functional magnetic resonance imaging (rs-fMRI) is generally based on the assumption that the functional organization is stationary across the duration of the scan. Hence, the presence and potential of temporal and spatial dynamics of the functional connectivity (FC), which is usually measured by the correlation coefficients between...
Agilent introduced FieldFox handheld network analyser in 2008. It has many attractive features for GPR engineers, such as wide bandwidth, low power consumption, light weighted and small size. To investigate the performance of using FieldFox as a GPR system, we have made following tests: (1) data acquisition speed tests (2) laboratory model tests (3) field tests. Test results show that a GPR based...
This paper proposes a local polynomial modelling (LPM) approach for voltage flicker tracking problem in power systems. The estimation of voltage envelope can be regarded as the identification of a time-varying linear model (TVLM). The proposed LPM approach models the time-varying coefficients of the TVLM locally by polynomials, which can be estimated by least-squares estimation with a kernel having...
This paper proposes a new regularized adaptive windowed Lomb periodogram (RAWLP) method for time-frequency analysis of non-stationary power signals. It extends the conventional Lomb periodogram by estimating the periodogram locally using the weighted least-squares (WLS) estimator. Instead of employing one constant window in WLS, variable window bandwidth is adaptively selected by the intersection...
This paper proposes a new method for identification of time-varying autoregressive (TVAR) models based on local polynomial modeling (LPM) and applies it to investigate the dynamic spectral information of event-related electroencephalogram (EEG). The proposed method models the TVAR coefficients locally by polynomials and estimates those using least-squares estimation with a kernel having a certain...
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