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Optimizing derivative approximations in IDL

Optimizing derivative approximations in IDL

6/6/1998

Computing standard derivative approximations that are not included as part of the standard library (The discrete 2D Laplacian for example) can be very time consuming. This Help Article demonstrates how IDL's SHIFT function can be used, in place of a FOR loop, to improve performance when approximating derivatives. Use the SHIFT... Read More >

Radially averaged Fourier Spectrum -- 2d

Radially averaged Fourier Spectrum -- 2d

6/6/1998

It is often necessary, when dealing with multidimensional data to compute the power spectrum as a function of |K|, the magnitude of the wavenumber vector. This is accomplished by computing the FFT and averaging power over circles of diameter |K|. Though fairly straightforward in theory, writing such a routine is often cumbersome because of... Read More >

Configuring Server-based FLEXnet/FLEXlm Licensing Through A Firewall

Configuring Server-based FLEXnet/FLEXlm Licensing Through A Firewall

6/4/1998

THIS INFORMATION ONLY PERTAINS TO SOFTWARE VERSIONS IDL 8.5, ENVI 5.3 AND PRIOR Topic: How do I enable floating or server-based node-locked licensing through a firewall? Background Server-based Exelis Visual Information Solutions licenses (such as network floating licenses or server based node-locked licenses) require running the... Read More >

Using ASSOC with structures

Using ASSOC with structures

5/21/1998

How do I use ASSOC with structures? A structure may be used in an ASSOC statement to read data from a file. A direct reference to a field of the sub-scripted variable used in the ASSOC statement is not allowed, however. To access the data in the structure, first assign an element of the associated variable to a temporary variable, and then... Read More >

Spherical gridding example

Spherical gridding example

5/21/1998

The below is an example of spherical gridding using the sph_scat function.  ;example window,0,xs=600,ys=400loadct,13npoints=10random_lats=randomu(seed,npoints)*180-90random_lons=randomu(seed,npoints)*360-180random_vals=randomu(seed,npoints)*100 ... Read More >

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