Abstract: Disclosed herein are an apparatus and method for sharing an augmented intelligence model of a containerized artificial intelligence (AI) model. The apparatus includes memory in which at least one program is recorded and a processor for executing the program. The program may perform downloading an AI module of a Docker image included in a robot application from container storage by referring to previously stored application configuration information, retrieving model information about an intelligence model used by the AI module from model information storage and downloading the corresponding intelligence model from model storage based on the retrieved model information, and executing the AI module in a container by mounting the intelligence model stored in a local file system as a volume in the container.

Abstract: A method for modelling a power amplifier, including memory effect modelling, for general input waveforms and power levels involves generating an extraction waveform having a plurality of tones each having a different frequency, a difference between the frequencies of two adjacent tones of the plurality of tones not being an integer multiple of a difference in frequency between any two other adjacent tones of the plurality of tones. The method further involves providing the extraction waveform to the power amplifier, receiving output from the power amplifier generated in response to the extraction waveform, and generating a model of the power amplifier based on the output.

Abstract: A circuit includes a field effect transistor (FET), a reference transistor having an output coupled to an output of the FET, an active bias circuit coupled to the reference transistor and configured to generate an input signal for the reference transistor in response to a change in drain current of the reference transistor due to carrier trapping and to apply the input signal to an input of the reference transistor, and a summing node coupled to an input of the FET and to the input of the reference transistor. The summing node adds the input signal to an input signal of the FET to compensate the carrier trapping effect.

Abstract: A circuit includes a field effect transistor (FET), a reference transistor having an output coupled to an output of the FET, an active bias circuit coupled to the reference transistor and configured to generate an input signal for the reference transistor in response to a change in drain current of the reference transistor due to carrier trapping and to apply the input signal to an input of the reference transistor, and a summing node coupled to an input of the FET and to the input of the reference transistor. The summing node adds the input signal to an input signal of the FET to compensate the carrier trapping effect.

Abstract: A method for modelling a power amplifier, including memory effect modelling, for general input waveforms and power levels involves generating an extraction waveform having a plurality of tones each having a different frequency, a difference between the frequencies of two adjacent tones of the plurality of tones not being an integer multiple of a difference in frequency between any two other adjacent tones of the plurality of tones. The method further involves providing the extraction waveform to the power amplifier, receiving output from the power amplifier generated in response to the extraction waveform, and generating a model of the power amplifier based on the output.

Abstract: A method for modelling a power amplifier, including memory effect modelling, for general input waveforms and power levels involves generating an extraction waveform having a plurality of tones each having a different frequency, a difference between the frequencies of two adjacent tones of the plurality of tones not being an integer multiple of a difference in frequency between any two other adjacent tones of the plurality of tones. The method further involves providing the extraction waveform to the power amplifier, receiving output from the power amplifier generated in response to the extraction waveform, and generating a model of the power amplifier based on the output.

Abstract: A method for modelling a power amplifier, including memory effect modelling, for general input waveforms and power levels involves generating an extraction waveform having a plurality of tones each having a different frequency, a difference between the frequencies of two adjacent tones of the plurality of tones not being an integer multiple of a difference in frequency between any two other adjacent tones of the plurality of tones. The method further involves providing the extraction waveform to the power amplifier, receiving output from the power amplifier generated in response to the extraction waveform, and generating a model of the power amplifier based on the output.

Abstract: A method for modelling a power amplifier, including memory effect modelling, for general input waveforms and power levels involves generating an extraction waveform having a plurality of tones each having a different frequency, a difference between the frequencies of two adjacent tones of the plurality of tones not being an integer multiple of a difference in frequency between any two other adjacent tones of the plurality of tones. The method further involves providing the extraction waveform to the power amplifier, receiving output from the power amplifier generated in response to the extraction waveform, and generating a model of the power amplifier based on the output.

Abstract: A method for modelling a power amplifier, including memory effect modelling, for general input waveforms and power levels involves generating an extraction waveform having a plurality of tones each having a different frequency, a difference between the frequencies of two adjacent tones of the plurality of tones not being an integer multiple of a difference in frequency between any two other adjacent tones of the plurality of tones. The method further involves providing the extraction waveform to the power amplifier, receiving output from the power amplifier generated in response to the extraction waveform, and generating a model of the power amplifier based on the output.