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Spectrum analyser -- perfect analysis

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article image Fast, handy, and cost-effective.

MEASUREMENT of electrosmog in this price range has never been this professional. Find radiation sources in your surroundings. Find their respective frequencies and signal strengths, including direct display of exposure limit overruns.

This used to be impossible in this price category, professional units often costing several thousand dollars and being excessively complicated in handling.

The highly complex calculations in spectrum analysis, including exposure limit calculation, is being performed, unnoticed in the background, by a high-performance DSP (digital signal processor).

This ultra-fast processor even allows Real-Time display in all LF versions of the SPECTRAN series. You won't find a slowly updating, sluggish display with a SPECTRAN LF measurement device. Simply amazing.

Available from TestEquip , the SPECTRAN device is fast, handy, cost-effective, has a beautiful exterior, and is precise.


Broadband measurement devices (especially common among novice users) do not provide valuable information at all.

You do receive a measurement result (for example, 500nT), but what is the frequency? Of how many radiation sources is this result composed? What causes the radiation? Are there multiple sources? Is the reading maybe even composed of several signal sources? What is the corresponding exposure limit for this reading? What IS the exposure limit if a mixture of several frequencies is present? Questions and yet more questions without an answer.

In contrast, using a spectrum analyser, you will also consider the frequency of the signal sources, as the frequency is just as important as the signal strength itself.

Only using the frequency information, a radiation source can be isolated reliably, and only using the frequency, calculation of frequency-dependant exposure limits can be accomplished.

Due to the missing frequency reference with broadband units, dramatic misinterpretations can arise: when exposure limits are calculated, these can be wrong by a factor of more than 1000. (This is not an error, we do really mean one thousand).

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