DIRECTIONAL COUPLER AND RADIO FREQUENCY POWER AMPLIFIER SYSTEM BASED ON DIRECTIONAL COUPLER OUTPUT

    公开(公告)号:US20250038393A1

    公开(公告)日:2025-01-30

    申请号:US18911015

    申请日:2024-10-09

    Abstract: The invention relates to a directional coupler, coupling high power and low power is used to replace existing two high-power directional couplers, thus reducing the cost and reducing the insertion loss of high-power radio frequency channels. The directional coupler cooperates with a control conditioning board, a splitter, a multi-path radio frequency power amplifier and a combiner to form the radio frequency power amplifier system, and the system is connected to a spectrometer; on one hand, by using a standard signal output by the spectrometer and a feedback signal of the directional coupler, nonlinearity caused by the power amplifier is corrected to achieve magnet-free linear radio frequency power amplification and anomaly protection; and on the other hand, the spectrometer can be used for monitoring the output power of the directional coupler and monitoring antenna matching, so as to provide dual protection for the radio frequency power amplifier system.

    GPU-BASED PARALLEL ELECTROCARDIOGRAM SIGNAL ANALYSIS METHOD, COMPUTER READABLE STORAGE MEDIUM AND DEVICE

    公开(公告)号:US20170105643A1

    公开(公告)日:2017-04-20

    申请号:US15389978

    申请日:2016-12-23

    Abstract: The present disclosure provides a GPU-based parallel electrocardiogram signal analysis method, comprising: performing a filtering process of electrocardiogram signals through a long interval artifact removal and a short interval artifact removal; performing a QRS detection of the filtering-processed electrocardiogram signals through an R-wave position extraction, a QRS complex start and end positions extraction and a QRS complex width extraction; performing an abnormal waveform classification of the QRS-detected electrocardiogram signals through template creation; wherein at least one of the long interval artifact removal, the short interval artifact removal, the R-wave position extraction, the QRS complex width extraction and the creation template is performed by a multiple threads at a GPU device side in parallel, any thread being read through its unique index number to process corresponding data. By executing one or more steps of the electrocardiogram signal analysis at GPU in parallel, the present disclosure increases the analysis speed of the electrocardiogram signals.

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