Category Archives: signal processing

Windows of Opportunity – ENBW

When you search online for ENBW you’ll likely find a list of sites related to EnBW AG, a Ger­man energy giant (which, on a totally unre­lated note, we were a cus­tomer of until recently). While energy is quite rel­e­vant in the con­text of this post, EnBW has noth­ing to do with it. This post is

Windows of Opportunity

Some­times sig­nals can be stub­bornly non-periodic. This can make dig­i­tal sig­nal pro­cess­ing so much more annoy­ing. The sup­pos­edly sim­ple act of plot­ting the spec­trum ends up being a game of trial-and-error, or requires mak­ing a deci­sion that involves prior knowl­edge of what one would actu­ally like to know in the first place. We’ll have a

simulating ROSNR

As a (late) Christ­mas present I thought I’d share my method of deter­min­ing the required OSNR (ROSNR) value for a trans­mis­sion sys­tem in sim­u­la­tions by means of the Monte Carlo method. Recently, I do pre­fer the error vec­tor mag­ni­tude (EVM) as a fig­ure of merit, but not a lot of peo­ple share this view. Many

DFT Cheat Sheet

Since I have so much to do with the dis­crete Fourier trans­form (DFT) – both recently and not so recently – I always wanted to make a sort of “cheat sheet” about it with the most impor­tant rela­tions of the var­i­ous time and fre­quency dimen­sions and some of the more impor­tant trans­form pairs all on