Recently, a new blind adaptive deconvolution algorithm was proposed based on a new closed-form approximated expression for the conditional expectation (the expectation of the source input given the equalized or deconvolutional output) where the output and input probability density function (pdf) of the deconvolutional process were approximated with the maximum entropy density approximation tech...

Several mass spectrometry methods were explored to determine the regiospecificity of deuterium substitutions in hydrocarbon mixtures. The case investigated in this work was that of ethane mixtures obtained by catalytic HD exchange between either C(2)H(6) and D(2) or C(2)D(6) and H(2) over platinum surfaces. A total of ten isotopologs are possible, and were indeed detected in all cases. Deconvol...

1047-3203/$ see front matter 2011 Elsevier Inc. A doi:10.1016/j.jvcir.2011.07.010 ⇑ Corresponding author. E-mail addresses: [email protected] (J.-H. Lee Non-blind image deconvolution is a process that obtains a sharp latent image from a blurred image when a point spread function (PSF) is known. However, ringing and noise amplification are inevitable artifacts in image deconvolution since p...

The image correction based on the Wiener’s deconvolution is proposed by evaluating the Point-Spread Function (PSF) for motion blur alteration. This correction is experimented to reduce the number of rejected images by the pre-processing procedure pointed out to correct detection of the Micro Nucleuses into human lymphocyte images acquired from the Image Flow Cytometer. The proposed correction o...

Nanocrystalline silicon embedded carbide, nc-Si(SiC) thin films were deposited on p-type substrates by using a thermal chemical vapor deposition (CVD) with different process temperatures from 700 to 1000 °C. The SEM images reveal the Si particles are SiC films. estimated crystallite size of was varied 14 28 nm and 40.7 61 respectively Scherrer formula Williamson – Hall formula. Similarly, latti...

Astronomical images taken by ground-based telescopes suffer degradation due to atmospheric turbulence. This degradation can be tackled by costly hardware-based approaches such as adaptive optics, or by sophisticated software-based methods such as lucky imaging, speckle imaging, or multi-frame deconvolution. Software-based methods process a sequence of images to reconstruct a deblurred high-qual...

Recent technological advances have made it possible to carry out high-throughput metabonomics studies using gas chromatography coupled with time-of-flight mass spectrometry. Large volumes of data are produced from these studies and there is a pressing need for algorithms that can efficiently process and analyze data in a high-throughput fashion as well. We present an Automated Data Analysis Pip...

Minimum entropy deconvolution (MED) is a technique developed by Wiggins (1978) with the purpose of separating the components of a signal, as the convolution model of a smooth wavelet with a series of impulses. The advantage of this method, as compared with traditional methods, is that it obviates strong hypotheses over the components, which require only the simplicity of the output. The degree ...