![]() ![]() Matlab code to do multivariate alteration detection (MAD) analysis, maximum autocorrelation factor (MAF) analysis, canonical correlation analysis (CCA) and principal component analysis (PCA) on image data. Orthogonal transformations for change detection, Matlab code The complete 88 line code is included as an appendix and can be downloaded from the web site of the basic code to include recent PDE-based and black-and-white projection filtering methods. The original code has been extended by a density filter, and a considerable improvemen. It has been developed using the 99 line code presented by Sigmund (Struct Multidisc Optim 21(2):120–127, 2001) as a starting point. The paper presents an efficient 88 line MATLAB code for topology optimization. This report provides documentation for the MATLAB scripts.Įfficient topology optimization in MATLAB using 88 lines of codeĪndreassen, Erik Clausen, Anders Schevenels, Mattias The developed MATLAB code also addresses phase error correction by applying the Mertz method. The first step in working with raw interferograms is to convert them to uncalibrated spectra by applying an apodization function to the raw data and then by performing a Fourier transform. The report summarizes the developed MATLAB scripts and functions, along with a description of the mathematical methods used by the code. ![]() ![]() MATLAB code was developed to convert the raw interferograms to calibrated spectra. The work discussed in this report was completed as part of the Helios project at Los Alamos National Laboratory. This report discusses the mathematical procedures used to convert raw interferograms from Fourier transform infrared (FTIR) sensors to calibrated spectra. Mathematical Formulation used by MATLAB Code to Convert FTIR Interferograms to Calibrated SpectraĮnergy Technology Data Exchange (ETDEWEB)Īrmstrong, Derek Elswick [Los Alamos National Lab. ![]()
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