Übersetzung für "Approximation error" in Deutsch

Meanwhile approximation error would have had just first sequence in space.

Between the points representing midnight, the approximation error is by approximately one order of magnitude better.

However, the Bramble–Hilbert lemma applies in any number of dimensions, not just one dimension, and the approximation error and the derivatives of formula_1 are measured by more general norms involving averages, not just the maximum norm.

Since the optimum grid can be calculated considerably more accurately than the distance between the code modules (practical results give an approximation error of less than 0.1 mm for a code module size of 0.4 mm and good contrast), the position of the intersection of the optical axis with the paper is likewise determined with a resolution of better than 0.1 mm.

Since the optimum grid can be calculated considerably more accurately than the distance between the code modules—as mentioned above an approximation error of better than 0.1 mm can be achieved with a code module size of 0.4 mm and good contrast—the position of the intersection of the optical axis with the paper can likewise be determined with a resolution of better than 0.1 mm.

However, the Bramble–Hilbert lemma applies in any number of dimensions, not just one dimension, and the approximation error and the derivatives of u {\displaystyle \textstyle u} are measured by more general norms involving averages, not just the maximum norm.

In such a case, samples must be recorded and registered with a close sequence, i.e., said values must be close to each other, in order to keep the approximation error small.

It becomes clear that, with L=4, making the edge areas of the phase function q(t) constant according to equation (9) only causes a very slight approximation error.

The transition to a mean area speed from the individual sampling points which are formed by the measurement paths is also associated with an approximation error with a plurality of measurement paths.

In each of FIGS. 3 to 9, for each point in time, the Euclidian approximation error EErr is illustrated in millimeters and Err is illustrated in nanoseconds.

In an embodiment, the concept of shaping/reducing the approximation error is applied to invertible integer transforms, particularly the IntMDCT.

By the illustrated device for converting and/or for inversely converting, integer transform methods for a lossless audio coding are provided in which the approximation error is reduced.

The approximation error is corrected in the firmware (by the DSP), where divisions by arbitrary numbers are much easier to perform than in hardware.

The approximation error in the subblock 210 for the DPCH power calculation is therefore a factor 304 / 256, i.e. the results are too great by this factor.

The approximation error in the subblock 220 for the CPICH power calculation is a factor 10/8, since the scaler sc 33 divides only by 8 instead of by 10.

With quantization based on the procedure of successive approximation the quantization error is at the end of the last approximation step and can be determined simply as the difference between the output signal of the A/D converter in the quantizer and the input value.

The resulting approximation error becomes particularly problematic for lossless audio encoder approaches, particularly when long transformations are used, which provide, for example, 1,024 spectral values, such as it is, for example, the case in the known MDCT with overlap and add (MDCT=modified discrete cosine transformation).

Particularly in the higher frequency range, where the audio signal typically has a very low amount of energy anyway, the approximation error can quickly become larger than the actual signal, so that this approach is problematic with regard to lossless encoding and particularly with regard to the encoding efficiency obtainable thereby.

Thus, particularly in high transformation lengths, as they are used in audio encoding applications (for example 1,024), the integer approximation of the DCT-IV provides the main contribution for the approximation error.

In a preferred embodiment of the present invention, the inventive concept of shaping/reducing the approximation error is applied to invertible integer transforms, particularly the IntMDCT.

The resulting approximation error becomes problematic particularly for lossless audio coding approaches, particularly when long transforms are used providing, for example, 1,024 spectral values, such as it is the case in the known MDCT with overlap and add (MDCT=modified discrete cosine transform).

Particularly in the higher frequency range, where the audio signal typically has a very low energy amount anyway, the approximation error may quickly become larger than the actual signal, so that these approaches are problematic with respect to lossless coding and particularly with respect to the coding efficiency that may achieved by it.

Thus, particularly for transform lengths which are high, such as they are used in audio coding applications (for example 1,024), the integer approximation of the DCT-IV provides the main contribution to the approximation error.

Fuel consumption can be predicted with a bi-linear approximation within an error of less than 1% over the operating and load range.

Over a period of three months, the EVs remain almost constant and the viscosity rises by an amount which corresponds approximately to the error of the measurement method.

The method according to the invention was applied to real image data for all three models described, and the respective approximation errors were compared with one another.

The following is an informal discussion describing how to make reasonable approximations of errors associated with measuring physical quantities.

Anyway, the correct calculations – pledge of high-quality repair, and them it is necessary to carry out with special care, adding an error, approximately, in five percent.

FIG. 9 is a view of the approximation errors of all available GPS satellites in the time slope of the year 2005, showing 61 days, starting on March 1,2005; and