Search Results - "deconvolution"
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Bayesian deconvolution of vessel residence time distribution
Published 2018Subjects: “…Residence Time Distribution; Deconvolution; Bayes’ Theorem; Least Squares; FFT…”
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Analysis of transient using homomorphic deconvolution technique
Published 2010“…The method based on cepstral deconvolution is fast and computationally inexpensive. …”
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Quantitative Deconvolution of Human Thermal Infrared Emittance
Published 2012“…The limited validity of the two assumptions signifies need for quantitative deconvolution of human TIR emittance in clinical, psychophysiological and critical applications. …”
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Fluorescence decay analysis using expotential compensation deconvolution
Published 2010“…The method relies on the classical Gardner transform to convert the data signal into a convolution model which is deconvolved using exponential compensation deconvolution technique. Eigenvector algorithms are then used to further model the resulting complex exponentials to obtain better estimates of decay rates and number of components. …”
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Analysis of transient multiexponential signals using cepstral deconvolution
Published 2010“…The method based on cepstral deconvolution is fast and computationally inexpensive. …”
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Analysis of transient multiexponential signals using exponential compensation deconvolution
Published 2012“…The first step involves the use of the classical Gardner transform to convert the data signal into a convolution model which is deconvolved using exponential compensation deconvolution technique in the second step. In the third step, eigenvector algorithms are used to process the resulting complex exponentials to obtain better estimates of decay rates and number of components. …”
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Effect of multiple deconvolution parameters on the resolvability of decay rates of multiexponential signals
Published 2008“…Noise reduction in deconvolution process has been a challenge to researchers in the field of signal processing. …”
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Performance evaluation of the deconvolution techniques used in analyzing multicomponent transient signals
Published 2000“…Deconvolution is an important preprocessing procedure often needed in the spectral analysis of transient exponentially decaying signals. …”
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Fast Holographic Deconvolution: A New Technique for Precision Radio Interferometry
Published 2012“…We introduce the Fast Holographic Deconvolution method for analyzing interferometric radio data. …”
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Automatic Interpretation Of Magnetic Data Using Euler Deconvolution With Modified Algorithm
Published 2018“…The conventional Euler deconvolution has five unknown parameters to be solve which are the location of source (x0, y0 and z0), the background field (B) and the structural index (N). …”
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Parameter estimation of multicomponent transient signals using deconvolution and ARMA modelling techniques
Published 2003“…An improved method that is based of the combination of Gardner transformation, optimal compensation deconvolution, and signal modelling techniques is suggested in this paper. …”
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Blind deconvolution technique for de-noising of Non-stationary seismic signals using DWT
Published 2007“…This work incorporates the wavelet transform in the blind deconvolution technique to deal with the inherent non-stationarity present in seismic data and to improve the SNR of seismic data. …”
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Analysis of multiexponential transient signals using interpolation-based deconvolution and parametric modeling techniques
Published 2003“…Previous work has shown that the deconvolution technique is one of the most effective procedures for analyzing transient exponentially decaying signals. …”
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A note on the asymptotic normality of the kernel deconvolution density estimator with logarithmic chi-square noise
Published 2015Subjects: “…kernel deconvolution estimator; asymptotic normality; volatility density estimation…”
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A HOS-based blind deconvolution algorithm for the improvement of time resolution of mixed phase low SNR seismic data
Published 2009“…A blind deconvolution technique using a modified higher order statistics (HOS)-based eigenvector algorithm (EVA) is presented in this paper. …”
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Analysis of urinary metabolic alteration in type 2 diabetic rats treated with metformin using the metabolomics of quantitative spectral deconvolution 1H NMR spectroscopy
Published 2020“…The aim of our study was to identify residual metformin in the urine of type 2 diabetic rats using quantitative spectral deconvolution of 1H NMR method. Additionally, quantitative assessment of residual metformin and other identified metabolites in the urine, as well as the evaluation of metabolic alteration due to metformin treatment of diabetic condition were also carried out. …”
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Drill bit noise imaging without pilot trace, a near-surface interferometry example
Published 2019Subjects: Get full text