Disclosed are some examples of retimer circuitry, systems and methods. In some implementations, clock data recovery circuitry is coupled between a receiver and a transmitter. The clock data recovery circuitry is configured to: extract a data component from an input data signal associated with the receiver, provide the data component to the transmitter, and generate a phase control signal. Phase interpolator circuitry is coupled with the clock data recovery circuitry. The phase interpolator circuitry includes a phase interpolator configured to: receive the phase control signal, generate, based on the phase control signal, an output clock signal, and provide the output clock signal to the transmitter to track data packets of the data component.

Disclosed are some examples of Phase interpolator circuitry used in retimer systems. The phase interpolator circuitry includes a phase interpolator configured to: receive the phase control signal, generate, based on the phase control signal, an output clock signal, and provide the output clock signal to the transmitter to track a plurality data packets. Phase interpolator circuitry is coupled with clock data recovery circuitry. In some implementations, clock data recovery circuitry is coupled between a receiver and a transmitter. The clock data recovery circuitry is configured to: extract a data component from an input data signal associated with the receiver, provide the data component to the transmitter, and generate a phase control signal.

A method of increasing the sample rate of a digital signal by creating intermediate sample points between adjacent neighbouring sample points comprising the step of populating each of the intermediate sample points depending on a weighted influence of a predetermined number of the neighbouring sample points, the weighted influence being calculated by representing the digital signal or filter at the predetermined number of sample points at least in part by its cosine components, which are each represented by absolute values of a cosine function in the time domain substantially limited to half a waveform cycle at its mid-point; combining the aforementioned cosine components at each of the neighbouring sample points to obtain waveforms at each of the neighboring sample points; determining values for each of the waveforms at the intermediate sample points and combining the determined values at the intermediate sample point to derive the weighted influence.

The invention relates to a signal processing device, a control method thereof, a control procedure and a recording medium, which is unnecessary to increase a memory capacity for implementing sampling to determine a filter parameter. The signal processing device includes a data acquiring element (10), acquiring signals of a time series, i.e. time series signals from a sensor; a filtering element (21), performing a filtering operation according to frequencies; a transfer element (30), transferring the time series signals; and a filter parameter determination element (50), performing frequency analysis to the time series signals within a pre-specified interval, i.e. a specified interval to determine a filter parameter.

A digital filter for filtering an input signal to form an output signal containing a coefficient multiplier and a moving-average filter. The coefficient multiplier is embodied to multiply values of the input signal by coefficients of the filter to form an intermediate signal. The moving-average filter is embodied to generate the output signal as a moving average of the intermediate signal.

A filtering device (20) includes an acquirer (21) and a filtering unit (22). The acquirer (21) acquires an input value that is repeatedly input. The filtering unit (22) obtains an output value by filtering for reduction of noise included in the input value. When a difference between the current input value and the past output value exceeds a first threshold, the filtering unit (22) obtains a new output value by weighting the current input value with a weight greater than a weight for obtaining the past output value.

Disclosed are some examples of Phase interpolator circuitry used in retimer systems. The phase interpolator circuitry includes a phase interpolator configured to: receive the phase control signal, generate, based on the phase control signal, an output clock signal, and provide the output clock signal to the transmitter to track a plurality data packets. Phase interpolator circuitry is coupled with clock data recovery circuitry. In some implementations, clock data recovery circuitry is coupled between a receiver and a transmitter. The clock data recovery circuitry is configured to: extract a data component from an input data signal associated with the receiver, provide the data component to the transmitter, and generate a phase control signal.

There is provided a 2-stage moving average filter for a navigation device including a delta regulator and an N-taps average circuit. The delta regulator is used as a first stage to receive motion delta at a varied frequency, and combine or split the received motion delta to output a regulated motion delta at a fixed frequency. The N-taps average circuit receives and averages N regulated motion delta and outputs the averaged motion delta at a fixed frequency.

An adaptive identification system, for identifying a propagation system characteristic by an adaptive filter, includes a signal generator that generates an identification input signal including a frequency component of an integer multiple of a fundamental frequency and having a periodicity satisfying a PE condition, a setting unit that sets moving average time to a fundamental period of the identification input signal, and an adaptive algorithm execution unit that uses a moving average value and a diagonal matrix to update a coefficient of the adaptive filter, the moving average value being obtained by calculating a moving average of a cross-correlation vector of a vector of the identification input signal and an observation signal with the moving average time, and the diagonal matrix being obtained by diagonalizing a matrix obtained by calculating a moving average of an autocorrelation matrix of the vector of the identification input signal with the moving average time.

A method for averaging pulsating measurement quantities is disclosed. First, time-discrete measurement values (1) of the measurement quantity are recorded. Subsequently, first filtering of the measurement values (1) is carried out with a first filter time constant, during which a first signal (2) is obtained, and second filtering of the measurement values (1) with a second filter time constant, during which a second signal (3) is obtained, the second filter time constant being greater than the first filter time constant. Intersection points (4), at which the first signal (2) and the second signal (3) intersect, are then determined. Lastly, the arithmetic mean of the measurement values (1) between the intersection points (4) is taken.