Exemplos de uso de Deconvolution em Inglês e suas traduções para o Português
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The technical term is"deconvolution," but yeah.
Euler deconvolution pointed solutions indicating gravimetric anomalies source.
Algorithms for no neighbor and nearest neighbor deconvolution.
Fully integrated deconvolution algorithm using adaptive calculated or supplied PSF.
Extensive collection of image and data deconvolution algorithms.».
To set correctly the deconvolution filter, the plug-in has the following parameters.
For determination in urine,it was used parafac to perform the deconvolution of spectra.
On the other hand, deconvolution is appropriate to measure low tissue perfusion values.
Parallax correction andtiling performed in LAS X after deconvolution with Huygens professional.
D Deconvolution Fully integrated deconvolution algorithm using adaptive calculated or supplied PSF.
An advanced data reduction package including peak deconvolution, comparable to high-end catalyst characterization units.
Powerful deconvolution algorithm in Epsilon software ensures accurate results even when element peaks are overlapping in the XRF spectrum.
SHARPEN projects photographer uses Adaptive Multiscale Deconvolution that analyzes up to 100 pixels around affected areas to counteract this effect.
For advanced structure interpretation(PCG) like particle size, size distribution, shape and inner structure, IFT and deconvolution techniques are available.
The clean-sc is a deconvolution algorithm and has been shown to be a powerful tool in improving the acoustic resolution of the array.
Digikam; The Refocus is a tool to refocus an imageby enhancing the sharpness. It uses the Deconvolution Filter algorithm copyrighted by Ernst Lippe.
The present work analyzes the deconvolution problem unsupervised signs approaching the sparse characteristic of the signals involved.
Several PCT protocols have been proposed, depending on different variables such as organ of interest,mathematical model utilized compartmental or deconvolution, available equipment and clinical objective.
By applying unsupervised deconvolution it is necessary to explore characteristics of signals and/or system to assistant in problem resolution.
The patented optic, source generator, orthogonal plasma observation,combined with latest spectra deconvolution algorithms provide an analytical performance close to laboratory instruments.
On the other hand, deconvolution is appropriate to measure low tissue perfusion values< 20 ml/min/100 ml, typically observed in post-treatment tumors.
The applied methodology was based on the 1h nuclear magnetic resonance data(through the behavior of the 3jhh spin spin coupling constant) and analytical deconvolution of infrared spectra on the c=o stretching region.
SHARPEN projects photographer uses Adaptive Multiscale Deconvolution that analyzes up to 100 pixels around affected areas to counteract this effect.
The blurred image process is mathematically modeled by a convolution process between the original image and the pointspread function(psf) of the blurring system,being the image restoration the inverse process a deconvolution process.
The analysis of the color removal was obtained from the deconvolution method of the absorption spectra in the visible region separating the two dyes of the absorption bands.
For the development of an ivivc, it is necessary three or more formulations, which are evaluated in relation to the dissolution behavior and for bioavailability(ba),calculating by deconvolution, an estimated absorbed fractions.
A key step is the deconvolution of the raw spectrum to achieve a processed spectrum with an improved effective resolution for spectral analysis and radionuclide identification Figure 3.
A computer program was developed to speed up the treatment of diffraction peaks and perform the deconvolution utilizing the stokes method to correct the instrumental contribution in the x-ray diffraction measurements.
An alternative way to estimate the energy has been introduced recently, the optimal filter constrained,which is able to reconstruct the original signal without stacking technique by deconvolution and identifies pile up based on a threshold.
Blind source separation and blind deconvolution of multiuser systems have been intensively studied over the last decades, mainly due to the countless possibilities of practical applications.