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We propose a technical method for efficient waveform processing in order to conduct the WPIA measurement precisely.
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The waveform processing is summarized as follows: 1.
The collected signals are then submitted to a core board for pulse waveform processing and analysis.
The efficient waveform designs found in living organisms are matched by equally well-adapted biological sensors.
We introduce the measured wave data with respect to the waveform processing.
The characteristic frequency variation of the chorus waves makes waveform processing difficult.
For simplicity of waveform processing, we use 50% overlapping of the frame.
We evaluate the effectiveness of waveform processing in the WPIA measurement by using chorus waves reproduced in simulation.
The effectiveness of the applied waveform processing is evaluated through pseudo-WPIA measurements by the electromagnetic particle simulation.
In order to examine the waveform processing, the amplitudes of dummy MSW and ECH waves are added.
The results of waveform processing indicate that the phase errors are successfully reduced and statistical fluctuations are suppressed.
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