Übersetzung für "Hoher rechenaufwand" in Englisch

Since the method of the present invention precalculates future object trajectories, a high computing expenditure is necessary.

More processing power is needed to show coordinated information on all displays.

One disadvantage of this known simulation process is that, because of the fixed time slot pattern for each sampling period, the real temporal switching points of the analog modulator whose behavior is to be expressed digitally, are not precisely duplicated. In addition, excessively high computing expenditures are required because many computing cycles are completed between switching points, during which time the simulated output signal does not change.

This known method (Jürgen Herre: “Fehlerverschleierung bei spektral codierten Audiosignalen”, Dissertation, Universität Erlangen-Nürnberg, Erlangen 1995) does indeed result in good error concealment, but a relatively high computational effort is required which makes a realtime decoding of a received multimedia or audio data signal impossible at the present time.

It will be evident that this procedure leads to elaborate computations because it requires an image to be encoded many times to yield the optimum coding. SUMMARY OF THE INVENTION

The process is characterized in that neither filter training nor high mathematical effort are required for determining the equalizer coefficients.

For example, when images from a camera aimed in front of the vehicle are evaluated by an image processing controller of a motor vehicle, a high computational complexity exists, wherein a very large proportion of, for example, the tested hypotheses will lead to the conclusion that no danger/threat situation exists.

The disadvantage of this method is that the determination of the interpolation curves requires a higher outlay on computation which can only be managed using correspondingly expensive arithmetic-logic units.

Since, as a rule, particularly in high-load situations, most data packets are filtered out anyway and therefore not used further, an unnecessarily high level of computation complexity can arise at this juncture, however.

If the test hash value is calculated separately for each device, there is a high computing complexity for the testing device, with the result that it is advantageous to already calculate the test hash values before transmitting the parameter, with the result that the testing device may quickly check the correctness of the hash value immediately upon receiving the latter from a device to be checked and may trigger an alarm if necessary.

High calculating expenditure, however, also signifies a large amount of calculating time, so that the essential requirement on cryptography processors is, at the same time, to achieve a high calculating throughput, so that, for example, an identification, access to a building, a payment transaction or a credit card transfer does not take many minutes, which would be extremely detrimental to market acceptance.

If the track-guided transport system comprises a large number of vehicles which are travelling through the track network at the same time, then a system for controlling all these vehicles by means of a central control unit for the transport system necessitates a large amount of computing power in the central control unit and a very extensive exchange of data between the vehicles and the central control unit.

One disadvantage of this known simulation process is that, because of the fixed time slot pattern for each sampling period, the real temporal switching points of the analog modulator whose behavior is to be expressed digitally, are not precisely duplicated. In addition, excessively high computing expenditures are required because many computing cycles are completed between switching points, during which time the simulated output signal does not change.

However, existing tetrahedral finite elements are limited in their performance due to the following issues: Locking, high CPU cost, high numerical dispersion and large reflection-transmission errors in heterogeneous media.

A disadvantage of this procedure is the greater amount of the calculation in the decoder.

As already mentioned, a time-domain filter requires high computation complexity.

This setting is recommended, however, it requires a higher processing effort .

This has the advantage that it may be achieved without high computing costs.

This nonetheless represents a relatively high computing expenditure.

However, the disadvantage of the matched filter consists in the complexity of the calculation.

The disadvantage of the matched filter is that it involves extensive calculation.

The encryption of a VoIP data packet, however, requires a relatively high computing effort.

Such techniques are often connected with high computational outlay.

These approximation methods require, however, a very high calculational effort.

The disadvantage, however, lies in the higher computation outlay of the line-wise calculation.

Simulations with physical values of the QCD-parameters require a large computational effort.

A disadvantage is the high cos of computing.

The disadvantage of the FE2-method is the high computational cost.

However, more complex calculations are needed for filter 3' at the higher frequency level.

Such an embodiment allows a very precise three-dimensional model 20, but requires a high calculation effort.

The method is particularly suitable for high-dimensional, nonlinear tasks with extensive computational demands concerning the simulation.

HRForecast then analyzes the collected data with great computing effort and derives recommendations for action.

Object detection by stereoscopy at short range requires at least very large correlation windows and, hence, particularly high computing costs.

The great disadvantages of DFT are the high calculating complexity and the redundancy contained in the spectrum.

The use of the transient stator flux requires a higher level of computing expenditure and involvement but also gives more accurate results.

These are either based on a stereo camera requiring a minimum distance for triangulation and higher computing efforts.