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The system is capable of synchronously acquiring, and logging on a flash memory bank, four high resolution signals.
Although well established procedures for nonlinear fitting exists, they tend to show slow performance when either a large number of bands or high resolution signals are involved.
As a result, the disparity between the jet engine model sampling rate and these high resolution signals requires a multi-rate simulation.
However, the high resolution signals of some components in the HIL simulation cause the real-time simulation to become difficult due to the need of small time-steps.
The first problem seems to constrain the applications to the ΣΔ converters with coarse quantizers; but a wider application area is expected, thanks to the ΣΔ signal processing, which is based on the converting high resolution signals into higher rate SWL data.
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The classical high resolution signal processing methods or 3D Fourier Transforms can be used in order to extract the wave propagation information, however these methods are not adapted for identifying where and when the waves are generated.
The method of binding allows for the use of a higher concentration without inhibiting PCR and thus maintaining a higher resolution signal compared to SYBR dye.
While the primary motivation for DCS is to simplify the encoding of correlated high-resolution signals, one may of course bypass the potentially difficult acquisition of the high-resolution signals and directly collect the random measurements using CS hardware.
A second scenario where CS is useful is when one or more high-resolution signals are difficult or expensive to encode.
Our approach is motivated by recent results in sparse signal representation, which suggests that the linear relationships among high-resolution signals can be accurately recovered from their low-dimensional projections.
Before proceeding, however, we note that CS can also be useful in settings where it is possible to acquire high-resolution signals, but is difficult or expensive to subsequently encode them.
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