
Fast 2D histogram calculation 1.0 File ID: 86614 


 Fast 2D histogram calculation 1.0 License: Shareware File Size: 10.0 KB Downloads: 6
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Fast 2D histogram calculation 1.0 Description 

Description: Hist2D performs a fast calculation of 2D histograms. On a 2GHz processor, calculated and displayed a histogram of 1 million points in less than half a second.
HIST2D 2D histogram [H XBINS YBINS] = HIST2D(D, XN, YN, [XLO XHI], [YLO YHI]) [H XBINS YBINS] = HIST2D(D, 'display' ...) HIST2D calculates a 2dimensional histogram and returns the histogram array and (optionally) the bins used to calculate the histogram. Inputs: D: N x 2 real array containing N data points or N x 1 array of N complex values XN: number of bins in the x dimension (defaults to 20) YN: number of bins in the y dimension (defaults to 20) [XLO XHI]: range for the bins in the x dimension (defaults to the minimum and maximum of the data points) [YLO YHI]: range for the bins in the y dimension (defaults to the minimum and maximum of the data points) 'display': displays the 2D histogram as a surf plot in the current axes Outputs: H: 2D histogram array (rows represent X, columns represent Y) XBINS: the X bin edges (see below) YBINS: the Y bin edges (see below) As with histc, h(i,j) is the number of data points (dx,dy) where x(i) <= dx < x(i+1) and y(j) <= dx < y(j+1). The last x bin counts values where dx exactly equals the last x bin value, and the last y bin counts values where dy exactly equals the last y bin value. If D is a complex array, HIST2D splits the complex numbers into real (x) and imaginary (y) components
License: Shareware Related: outputs, current, represent, Columns, edges, displays, maximum, Dimension, defaults, range O/S:BSD, Linux, Solaris, Mac OS X File Size: 10.0 KB Downloads: 6


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