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2000SERIES 데이터시트(PDF) 7 Page - Pico Technology Ltd.

부품명 2000SERIES
상세설명  Ultra-compact PC oscilloscopes
PDF  27 Pages
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제조업체  PICO [Pico Technology Ltd.]
홈페이지  https://www.picotech.com/
Logo PICO - Pico Technology Ltd.

2000SERIES 데이터시트(HTML) 7 Page - Pico Technology Ltd.

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PicoScope 2000 Series oscilloscopes
Persistence mode
PicoScope 6 persistence mode options allow you to see old and new data
superimposed, with newer waveforms drawn in a brighter color or deeper shade. This
makes it easy to spot glitches and dropouts and estimate their relative frequency –
useful for displaying and interpreting complex analog signals such as video waveforms
and analog modulation signals.
The PicoScope 2000 Series’ hardware acceleration means that, in Fast Persistence
mode, waveform update rates of up to 80 000 waveforms per second are achievable.
Color-coding or intensity-grading shows which areas are stable and which are
intermittent. Choose between analog intensity, digital color and fast display modes or
create your own custom setup.
Spectrum analyzer
The spectrum view plots amplitude against frequency and is ideal for finding noise,
crosstalk or distortion in signals. PicoScope 6 uses a fast Fourier transform (FFT)
spectrum analyzer, which (unlike a traditional swept spectrum analyzer) can display
the spectrum of a single, non-repeating waveform.
With a click of a button, you can display a spectrum plot of the active channels, with
a maximum frequency of up to 200 MHz. A comprehensive range of settings gives
you control over the number of spectrum bins, window functions, scaling (including
log/log) and display mode (instantaneous, average or peak-hold).
Display multiple spectrum views with different channel selections and zoom factors,
and place these alongside time-domain views of the same data. Choose from
a number of automatic frequency-domain measurements to add to the display,
including THD, THD+N, SNR, SINAD and IMD. You can apply mask limit testing to a
spectrum and can even use the AWG and spectrum mode together to perform swept
scalar network analysis.



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