A test and measurement system has a test and measurement instrument, a test automation platform, and one or more processors, the one or more processors configured to execute code that causes the one or more processors to receive a waveform created by operation of a device under test, generate one or more tensor arrays, apply machine learning to a first tensor array of the one or more tensor arrays to produce equalizer tap values, apply machine learning to a second tensor array of the one of the one or more tensor arrays to produce predicted tuning parameters for the device under test, use the equalizer tap values to produce a Transmitter and Dispersion Eye Closure Quaternary (TDECQ) value, and provide the TDECQ value and the predicted tuning parameters to the test automation platform. A method of testing devices under test includes receiving a waveform created by operation of a device under test, generating one or more tensor arrays, applying machine learning to a first tensor array of the one or more tensor arrays to produce equalizer tap values, applying machine learning to a second tensor array of the one or more tensor arrays to produce predicted tuning parameters for the device under test, using the equalizer tap values to produce a Transmitter Dispersion Eye Closure Quaternary (TDECQ) value, and providing the TDECQ value and the predicted tuning parameters to a test automation platform.

A radio frequency signal synthesizer circuit includes a digital to analog converter configured to generate an analog output signal for each clock cycle of a clock signal to provide the radio frequency signal and a controlled oscillator to generate the clock signal. The controlled oscillator is configured to vary a cycle time of the clock signal for a radio frequency signal in a first frequency range in a first operation mode or to maintain a constant cycle time for a radio frequency signal in a second frequency range in a second operation mode, the second frequency range being different than the first frequency range.

Various aspects of a generator, ultrasonic device, and method for estimating a state of an end effector of an ultrasonic device are disclsoed. The ultrasonic device includes an electromechanical ultrasonic system defined by a predetermined resonant frequency, including an ultrasonic transducer coupled to an ultrasonic blade. A control circuit measures a complex impedance of an ultrasonic transducer, wherein the complex impedance is defined as

[00001]$Z_g(t)=\frac{V_g\left(t\right)}{I_g\left(t\right)}.$

The control circuit receivs a complex impedance measurement data point and compares the complex impedance measurement data point to a data point in a reference complex impedance characteristic pattern. The control circuit then classifies the complex impedance measurement data point based on a result of the comparison analysis and assigns a state or condition of the end effector based on the result of the comparison analysis.

Measurement apparatus and method for digital data acquisition. A first operation mode is provided for real-time processing of digital data having a reduced sample rate or resolution. Furthermore, a second operation mode is provided for processing the measurement signal off-line with a higher accuracy. In particular, the high accuracy data may be temporarily stored and analyzed upon the operation mode is changed from the real-time mode to the off-line mode.

Provided is a method for managing radio frequency (RF) and ultrasonic signals output by a generator that includes a surgical instrument comprising an RF energy output and an ultrasonic energy output and a circuit configured to receive a combined RF and ultrasonic signal from the generator. The method includes receiving a combined radio frequency (RF) and ultrasonic signal from a generator, generating a RF filtered signal by filtering RF frequency content from the combined signal; filtering ultrasonic frequency content from the combined signal; generating an ultrasonic filtered signal; providing the RF filtered signal to the RF energy output; and providing the ultrasonic filtered signal to the ultrasonic energy output.

A technique for generating analog waveforms includes combining a desired, in-band signal with a randomizing, out-of-band signal at an input of a DAC, operating the DAC to generate DAC output based on a combination of the desired signal and the randomizing signal, and filtering the DAC output to pass the desired signal while removing the randomizing signal.

A frequency characteristic measurement device that measures the frequency characteristic of a measurement target includes: a multi-sine signal generation unit that generates a multi-sine signal; a sweep sinusoidal wave generation unit that generates a plurality of sweep sinusoidal waves; an input signal switching unit that selects any one of the multi-sine signal and the sweep sinusoidal waves so as to input the selected one to the measurement target; a data acquisition unit that acquires, at a predetermined sampling frequency, sampling data of an input signal which is input to the measurement target and sampling data of an output signal which is output from the measurement target; and a characteristic calculation unit that calculates a frequency characteristic including the gain and the phase of the input and output signals in the measurement target from the sampling data of the input and output acquired.

Systems, computer-implemented methods and/or computer program products are provided for facilitating waveform synthesis. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a composing component that compresses data defining a waveform by employing amplitude partitioning of the data using equivalent sizing. The composing component can further employ run-length encoding to generate a string of integers representing a plurality of groups of the data as partitioned according both to amplitude and progressing time. In an embodiment, a decoding component can employ a binary search to decode a running sum array of integers representing at least a portion of the data, to decompress the data.

A data generation method by a computer is disclosed. First waveform data including marking information at a first position on a waveform, and acquiring second waveform data are acquired. A transformation function is specified that transforms the first waveform data to reduce the difference between a first value of a time axis for a first characteristic point in the first waveform data and a second value of the time axis for a second characteristic point, in the second waveform data, corresponding to the first characteristic point. Third waveform data are generated, in which the marking information is applied at a second position corresponding to the first position in the first waveform data, the second position being determined by using the transformation function.

A signal generating electric circuit, a signal generating method, a digit-to-time converting electric circuit and a digit-to-time converting method. The signal generating electric circuit includes: a first generating electric circuit configured for, based on a first frequency control word and a reference time unit, generating a periodic first output signal; and a second generating electric circuit configured for, based on a second frequency control word and the reference time unit, generating a periodic second output signal. The first frequency control word includes a first integer part and a first fractional part, the second frequency control word includes a second integer part and a second fractional part, the first integer part is equal to the second integer part, the first fractional part is not zero, the second fractional part is zero, and a period of the first output signal and a period of the second output signal are not equal.