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These performances have been measured for different quantization noise levels included in the range [−108 dB; −88 dB].
As can be seen, in some regions, the instantaneous quantization noise levels present in the FDLP codec after applying TM can be slightly higher than corresponding TM thresholds.
The quantization noise levels of the two DAQ boards are calculated by using this noise model and are shown in Fig. 3c.
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Our model capability to predict application performance according to the quantization noise level has been analyzed.
For example, in a digital communication receiver, the maximal quantization noise level is determined according to the desired bit error rate.
To validate this latter, its ability to model real quantization noises and its capability to predict the application performance according to the quantization noise level are analyzed through experiments.
In summary, the contributions of this paper are (i) a technique to determine the accuracy constraint according to the application performance requirements, (ii) a noise model to estimate the application performances according to the quantization noise level, (iii) an iterative process to adjust the accuracy constraint.
The application performance prediction is obtained with our model as described in Figure 2. The random signal modeling the output quantization noise with a noise level of is added to the infinite precision system output.
In this case, the level of this output quantization noise exceeds the other noise source levels.
What we consider here is, however, to enhance the video quality from multiple compressed copies of the same content (i.e., no spatial variations) with different levels of quantization noise.
On the other hand, with right values of u l and u h, TBD matrix performs much better than the dense Gaussian random matrix confronted with the quantization noise regardless of the quantization level.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com