204 results for “IR spectra”

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Research ArticleOpen accessIn the abstractWeyl's Type Theorems for Quasi-Class A OperatorsM.H.M. Rashid, M.S.M. Noorani, A.S. SaariA variant of Weyl theorem for a class of quasi-class A acting on an infinite complex Hilbert space were discussed. If the adjoint of T is a quasi-class A operator, then the generalized a-Weyl holds for f(T) , for every function that analytic on the spectrum of T. The generalized Weyl theorem holds for a quasi-class A was proved. Also, … …Journal of Mathematics and Statistics, Vol. 4, Issue 2 · 30 Jun 2008 · 7,224 accessesView PDF Cite

Research ArticleOpen accessIn the abstractUsing IRS Products to Recover 7ETM+ Defective ImagesMobasheri Mohammad Reza, Sadeghi Naeini AliOn May 31st, 2003, Landsat 7 faced an anomaly in the Scan Line Corrector (SLC) normal operation. This malfunctioning of SLC caused the individual scan lines alternately overlap each other and consequently produce large gaps at the edges of the image. Regarding the unique specification of ETM+ sensor on board of Landsat-7 satellite such as its spectral bands in the … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 6,967 accessesView PDF Cite

Research ArticleOpen accessIn the abstractMass Spectrometry/Mass Spectrometry Study on the Degradation of B-Aflatoxins in Maize with Aqueous Citric AcidA. Méndez-Albores, I. Nicolás-Vázquez, R. Miranda-Ruvalcaba, E. Moreno-MartÍnezDegradation of B-aflatoxins in maize by means of 1N aqueous citric acid was confirmed by the AFLATEST immunoaffinity column method, High Performance Liquid Chromatography (HPLC), tandem mass spectrometry (MS/MS) and computational information. The AFLATEST and HPLC assays showed that 96.7% degradation occurred in maize contaminated with 93 ng g-1 when treated with the aqueous citric acid. Two major products, produced … …American Journal of Agricultural and Biological Sciences, Vol. 3, Issue 2 · 30 Jun 2008 · 8,054 accessesView PDF Cite

Research ArticleOpen accessIn the abstractWavelet Shrinkage in Noise Removal of Hyperspectral Remote Sensing DataHelmi Z.M. Shafri, Paul M. MatherIt is common in hyperspectral remote sensing studies to perform analysis based on derivative spectroscopy. However, this technique is particularly sensitive to noise in the data. Thus, noise removal is essential before any derivative analysis. Various methods of noise removal are described in the literature. A newly developed method based on the wavelet transform appears promising, though there is little … …American Journal of Applied Sciences, Vol. 2, Issue 7 · 31 Jul 2005 · 7,017 accessesView PDF Cite