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OwnerWolfgang HERBORDTinventor
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A test and/or measurement instrument includes a frontend having at least an input for receiving an electrical signal. The frontend also includes at least one processing circuit configured for processing the electrical signal, thereby generating a processed electrical signal. The test and/or measurement instrument further includes a backend connected with the frontend such that the backend receives the processed electrical signal. The backend includes at least one signal processing architecture based on artificial intelligence. The signal processing architecture based on artificial intelligence is configured for at least partially compensating signal distortions caused by the frontend when processing the electrical signal in order to generate the processed electrical signal. Further, a method for processing an electrical signal as well as a computer-implemented method for training a signal processing architecture are described.
A test and/or measurement instrument for analyzing an electrical signal, wherein the test and/or measurement instrument comprises a frontend having at least an input for receiving an electrical signal, wherein the frontend also comprises at least one processing circuit configured for processing the electrical signal, thereby generating a processed electrical signal,
A method for processing an electrical signal, the method comprising at least the steps of:
A computer-implemented method for training a signal processing architecture based on artificial intelligence to at least partially compensate distortions of electrical signals introduced by a frontend of a test and/or measurement instrument, wherein the signal processing architecture based on artificial intelligence is trained by a training data set such that the signal processing architecture based on artificial intelligence is configured to at least partially compensate the distortions introduced by the frontend of the test and/or measurement instrument when processing the electrical signal, wherein the training data set encompasses input data associated with the electrical signal received by the frontend and training data associated with an electrical signal processed by the frontend of the test and/or measurement instrument, wherein the signal processing architecture based on artificial intelligence is fed with the training data such that the signal processing architecture based on artificial intelligence processes the training data in order to output compensated data associated with an at least partially compensated electrical signal, wherein the compensated data is compared with the input data encompassed in the training data set in order to determine a deviation between the input data and the compensated data outputted by the signal processing architecture based on artificial intelligence, and wherein the signal processing architecture based on artificial intelligence is adapted when a deviation between the input data and the compensated data occurs that is higher than a pre-defined threshold value.
Dependencies are inferred from the claim text.