Spectrum Instrumentation in Germany has developed a firmware update for its PCIe-based high speed digitizer cards for on-board summation averaging.
Averaging is a useful tool for reducing unwanted signal noise, while at the same time improving measurement resolution, dynamic range and signal-to-noise ratio (SNR). The new option enables the M5i digitizers to perform the averaging function using a Field Programmable Gate Array (FPGA) o the board.
The M5i series digitizers deliver real-time sampling at rates up to 6.4 GS/s with 12-bit resolution and they can stream all the acquired data directly over the PCIe bus at 12.8 GB/s. The averaging option which permits acquired signals to be averaged at 15 million events per second.
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Summation Averaging is a common, time-domain-based, processing technique that is used to reduce the random (uncorrelated) noise component of a signal, improving its signal-to-noise ratio (SNR), while at the same time increasing a digitizer’s measurement resolution and dynamic range.
For example this can detect a low-level signal (approximately 3 mV) that is completely buried by random noise. While the source signal is not even visible in the original single-shot acquisition, averaging 10 times shows that there is a signal with 5 peaks. Averaging 1000 times improves the signal quality even further, revealing the real shape of the signal, complete with secondary maximum and minimum peaks.
if the signal and noise are uncorrelated then the summation averaging function can improve the SNR in proportion to the square root of the number of measurements (or averages). For example, averaging a signal 256 times may improve the SNR by as much as 24 dB or increase measurement resolution by around 4 bits. This can be used to improve and extend the 12-bit resolution of the M5i series digitizers
To further enhance the averaging capability, and allow the M5i series digitizers to detect and average rare events that might otherwise be lost in excessive background noise, the new firmware option includes a data suppression technique called Threshold Defined Averaging (TDA). TDA allows the user to set a threshold level so that only waveform samples exceeding the level contribute to the accumulated waveform. Baseline noise samples, those that fall below the set level, are then suppressed by being set to zero, or, as an alternative, to a user-defined value.
As any waveform data that is below the threshold is removed from the averaged waveform, TDA can be a very useful tool for rejecting low level, correlated (synchronous) noise and other waveform artifacts, such as baseline drift. These are signal anomalies that cannot be removed by a conventional summation averaging process.
“This new option for the M5i series makes for one of the most powerful averaging systems available today,” said Spectrum’s Director of Technology, Oliver Rovini. “The FPGA-based processing allows ultrafast averaging, even on complex and long waveforms. In fact, there’s enough processing power available to average waveforms that contain as many as 1 MSample per acquisition. The result is an averaging package that will be of interest to anybody working with high frequency signals or very narrow pulses that are low level or where signal details are being lost due to high amounts of noise. This includes applications such as mass spectrometry, lidar, radio astronomy, automation, radar, biomedicine, nuclear physics, communications, sonar and many more.”
The averaging option (M5i.33xx-spavg) is available now for the M5i.33xx series of PCIe high-speed digitizers.
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