Before MATLAB Version 9.4 (R2018a), MATLAB stored complex numbers differently than Fortran, in separate, equal length vectorsprandpi. As a result, complex variables exchanged between those versions of MATLAB and a Fortran function are incompatible. MATLAB provides example conversion routinesmat2fortand...
a small group, but delays and wasted time on a global scale. MatLab seems to have only a few million users globally. I asked "How many people use MatLab" and got 4 million. My guess would be a few times that number tried it and gave up from the search co...
parser.error("incorrect number of arguments, use option -h for help.")displayEvolution = options.displayEvolution if displayEvolution: import matplotlib.pyplot as plt import imageMatlab## plt.rc('text', usetex=True) plt.rc('image',cmap='jet') ## gray_r ...
Both the spoiled gradient echo and the SEIR scans were processed using the mrQ software package (https://github.com/mezera/mrQ) for Matlab to estimate the proton relaxation time (T1) and macromolecular tissue volume (MTV) in each voxel, as in previous studies33,70. The mrQ analysis pipeline...
The experiment and analysis software was programmed in Matlab 2010a (Mathworks, Natick, MA, USA). Stimuli A pair of 0.5 c/deg sinusoidal gratings were used as stimuli (Fig. 4A). One grating was presented to each eye. The contrast of the gratings was modulated by a circular raised-cosine...
Image processing and analyses were carried out using MATLAB R2006B (MathWorks). GP images were computed according to the following (Eq. 2)GP=(ICh1−G∗ΙCh2)/(ICh1+G∗ΙCh2) where the G-factor served to calibrate the channels. GP images were displayed as two-fold binned heat maps...
The Wang data set is the largest. Using 40-fold cross-validation, the optimal feature number of gene pairs for the prognostic signature ismopt= 60. The 94.3% sensitivity on the test set (33 out of the 35 poor-outcome samples) is close to the target of 90%. The specificity of the cla...
Multivariate analyses were performed in Matlab using PLS_toolbox 7.8.2 (Eigenvector Research, Inc., Manson, WA, USA). To reduce the number of input variables for multivariate modelling, variable selection was performed by Wilcoxon testing of individual metabolites. Metabolites with Wilcoxon P-value...
The API utilized is expressed in Microsoft's .NET programming environment, but ‘wrappers’ are provided to enable instrument code written in MATLAB also to be used. The point of mapping instruments into active software components is that his enables complex, non-linear behavior to be represented...
The NN toolbox of MATLAB was selected for NN model building due to its flexibility and simplicity. The Levenberg-Marquardt (LM) algorithm was used in this study, which is an advanced optimization algorithm and one of the more efficient for training NNs. According to Kolmogorov’s theorem, NN...