A tire monitoring apparatus comprising a monitor installed on a tire and a pulse width measuring apparatus for measuring the width of pulses produced by the monitor. The pulse width measuring apparatus comprises a frequency analyzer for producing a frequency representation of the pulse, a signal processor for determining a minimum value of the frequency representation, and a pulse width estimator that inverts the minimum value to produce a measurement for the pulse width. The tire monitoring apparatus uses the pulse width measurement as an indication of characteristics of the tire.

The present invention comprises a novel system and method to detect and estimate the time-frequency span of wireless signals present in a wideband RF spectrum. In preferred embodiments, the Faster RCNN deep learning architecture is used to detect the presence of wireless transmitters from the spectrogram images plotted by searching for rectangular shapes of any size, then localize the time and frequency information from the output of the FRCNN deep learning architecture.

Disclosed are circuit and method for width measurement of digital pulse signals. The circuit comprises: a sample clock, used to drive all registers in the circuit; an edge detection and interrupt control unit, used to detect a rising edge and a falling edge of a pulse signal on an input pin Input to control signal collection; an integer encoding unit comprising a counter and registers and used to measure an integer part μ of the width of a high or low level on the input pin Input with one period 1/f of the sample clock as a reference unit; a signal capture chain, used to sample an output level of each delay cell DLL; a decimal encoding unit, used to find out and record the propagation position of the pulse edge on the signal capture chain; and a calibration control unit, used to perform calibration.

A method includes measuring first travelling wave power of a microwave having a single frequency peak and second travelling wave power having a single frequency peak, acquiring duty ratios of the first travelling wave power and the second travelling wave power based on measured values and a first determination threshold value, measuring third travelling wave power of a microwave having a bandwidth and fourth travelling wave power having a bandwidth, acquiring duty ratios of the third travelling wave power and the fourth travelling wave power based on measured values and a second determination threshold value, approximating a pulse width error between the first travelling wave power and the third travelling wave power and a pulse width error between the second travelling wave power and the fourth travelling wave power with linear functions, and determining the correction function based on the linear functions.

The disclosure relates to apparatus and methods for self-testing of a duty cycle detector. Example embodiments include a circuit (201) comprising: a clock signal generator (205) configured to provide an output clock signal (203) having a duty cycle; a duty cycle detector (208) arranged to receive the output clock signal (203) and provide an output flag if the duty cycle of the clock signal (203) is outside a predetermined range; a controller (214) arranged to provide a duty cycle select signal (216) to the clock signal generator (205) to cause the clock signal (203) to have a duty cycle outside the predetermined range and to receive the output flag to confirm operation of the duty cycle detector (208).

An arc detector for a RF power supply system, where the RF power supply incudes a first RF power supply and a second RF power supply. A signal applied to a non-linear load varies in accordance with an output from one of the first RF power supply or the second RF power supply. The signal has a frequency. During an arc or arc condition in the non-linear load, the frequency of the signal changes, and if the frequency is outside of a selected range, an arc or arc condition is indicated. The frequency can be determined by digitizing the signal into a series of pulses and measuring a time or period between pulses.

An arc detector for a RF power supply system, where the RF power supply incudes a first RF power supply and a second RF power supply. A signal applied to a non-linear load varies in accordance with an output from one of the first RF power supply or the second RF power supply. The signal has a frequency. During an arc or arc condition in the non-linear load, the frequency of the signal changes, and if the frequency is outside of a selected range, an arc or arc condition is indicated. The frequency can be determined by digitizing the signal into a series of pulses and measuring a time or period between pulses.

The present invention comprises a novel system and method to detect and estimate the time-frequency span of wireless signals present in a wideband RF spectrum. In preferred embodiments, the Faster RCNN deep learning architecture is used to detect the presence of wireless transmitters from the spectrogram images plotted by searching for rectangular shapes of any size, then localize the time and frequency information from the output of the FRCNN deep learning architecture.

A MEMS device may output a signal during operation that may include an in-phase component and a quadrature component. An external signal having a phase that corresponds to the quadrature component may be applied to the MEMS device, such that the MEMS device outputs a signal having a modified in-phase component and a modified quadrature component. A phase error for the MEMS device may be determined based on the modified in-phase component and the modified quadrature component.

A MEMS device may output a signal during operation that may include an in-phase component and a quadrature component. An external signal having a phase that corresponds to the quadrature component may be applied to the MEMS device, such that the MEMS device outputs a signal having a modified in-phase component and a modified quadrature component. A phase error for the MEMS device may be determined based on the modified in-phase component and the modified quadrature component.