Xvalues

Statistics::LineFit module least squares line fit, weighted or unweighted. SYNOPSIS use Statistics::LineFit; $lineFit = Statistics::LineFit->new(); $lineFit->setData (@xValues, @yValues) or die "Invalid data"; ($intercept, $slope) = $lineFit->coefficients(); defined $intercept or die...


Platforms: *nix

Function call: env_secant(x_data, y_data, view, side)Calculates an envelope of data over .Method used: 'secant-method'env_secant() observates the max. slope of every about points from last junction point, and joints them to the resulting envelope.An interpolation over original x-values is...


Platforms: Matlab

W = mywigner(Ex)W = output Wigner distributionEx = Input electric field (MUST be a column vectorNotes:W = Int(-inf..inf){E(x+y)E(x-y)exp[2ixy]}E(x+y) & E(x-y) are calculated via a FFT (fast Fourier transform) using theshift theorem. The integration is performed via a FFT. Thus it is important for...


Platforms: Matlab

A peak fitting program for time-series signals, written as a self-contained function in a single m-file. Uses an non-linear optimization algorithm to decompose a complex, overlapping-peak signal into its component parts. The objective is to determine whether your signal can be represented as the...


Platforms: Matlab

Function WINSOR inputs data vector x and 2*1 vector of cut-off percentiles p, and replaces non-NaN values of x that are below percentile p(1) with the smallest remaining value, and x-values above percentile p(2) with the largest remaining value. Percentiles are computed with PRCTILE of Statistics...


Platforms: Matlab

example: dismat(50,5,6) creates a 5x6 probability matrix and gives various parameters. dismata(a,r,c) a-matrix, r-row vector of x-values, c-column vector of y values. Freshers can see and appreciate the work load in the computation.


Platforms: Matlab