Übersetzung für "Mittelwertfilter" in Englisch

Such smoothing filters are often designed as low-pass filters or as averaging filters.

It is also possible as undelayed mean average value filter.

Interferences to the signal proportional to the rotational speed could be largely eliminated with a median filter.

The averaging filter 18 A has the engine speed nMOT and the limit speed nLi as additional input variables.

It is possible for the data to be determined in particular from a sliding average filter and a predefinable window size.

A pre-filter which comprises a mean value filter and an integrating stage can be connected upstream to the Kalman filter.

In the open-loop control of machine tools or robots, the discontinuous or digital setpoint velocity values calculated by a numerical control system are smoothed by a digital averaging filter in order to avoid sudden load changes on the driven axes.

For this purpose, the velocity profile V(K) generated by the interpolator I is passed through the digital filter F, which can be an averaging filter. This means that the velocity signals V(K) are transmitted as input signals V(K) to the filter.

The transient portion of the current actual values can also be pre-processed with a working cycle-synchronous average filter in order to eliminate the potentially still present iterative portion in the signal.

If the affine transformation contains a scaling with a scale factor < 1, a kind of mean filter is used to prevent aliasing effects (medium quality and run time).

Advantageously, the transient portion of the current actual values can be pre-processed with a working-cycle-synchronous average filter in order to eliminate the potentially still present iterative portion in the signal.

The depth Z of the reconstructed 3D point cloud is smoothed using a disk-shaped median filter (Jähne, 2002) (radius: 15 pixels) so as to remove small-scale irregularities of the surface.

A substantially more precise determination of the load mass hereby results which was not possible at all via mean value filters since they cannot eliminate static influences at all.

Such a filter can be a mean value filter or a Kalman filter with residual regulation, which are both capable of eliminating atypical measurements in real time.

FIG. 3 schematically illustrates an exemplary embodiment of a moving-average filter 3 to which parameter Iqnom is supplied at a variable clock pulse Tv.

This makes it clear that the activation of a conventional smoothing filter 10 as a averaging filter during a movement is problematic and not easily possible.

An averaging filter has a smoothing effect, i.e. it increases the derivability of the setpoint S(t) by one order.

Due to this scanning-rate conversion, a moving-average filter having a particularly simple configuration is subsequently able to be used in order to largely rid the monitored parameter of the influence of the tooth meshing.

According to one exemplary illustration, the actual rail pressure is computed from the measured rail pressure by means of an averaging filter in that below a limit speed the rail pressure is averaged over a constant time and that above the limit speed the rail pressure is averaged over a working cycle of the internal combustion engine.

The averaging filter 18 A is used to determine whether the averaging of the rail pressure is performed over a working cycle, i.e. two revolutions of the crankshaft, or over a constant time.

This superposition can also be referred to as moving, analogously to a moving average filter, the use of which also results in the number of the input values remaining identical.

EP 419 705 A1 and EP 477 412 A1 each describe a jerk limitation with a simple averaging filter which forms the mean value over a specified number of previous position commands in order to calculate the new setpoint for the position command.

Although these averaging filters require less computational power, they assume that previous position commands are known in order to be able to calculate a mean value from the previous values.

In accordance with the present disclosure, this object is solved, in one example, by a a method for determining the delivery rate of a liquid conveying device, (e.g., at least one piston pump). On the basis of measured values concerning the pressure of the liquid in the liquid conveying device, the number of the pump strokes of the liquid conveying device is determined, in particular substantially calculated, by series connection of a plurality of filters with adaptive filter length and variable detection limits.

To do this, the measurement signal is averaged over a long, maximum integration time (for example 2 seconds to 5 seconds) as a comparison value with a moving average value filter.

The actual acceleration of the vehicle is here calculated from the output rotational speed of the vehicle and subsequently filtered via a mean value filter, in order to evaluate irregularities of the output rotational speed signal with an inertia such that the control of the transmission is not negatively affected by the irregularities occurring in the curve of the actual acceleration.