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1 In order to provide simulated data source for LFMICW radar altimeter height detection algorithm, terrain return of LFMICW altimeter needs to be modeled and simulated.
2 Simulated data sets based on the Integration Equation Model (IEM) are used to train the neural network.
3 The simulated data are quite similar to sea trial data in time, frequency and spatial domain.
4 Finally, making a comparison between simulated data and classical heading angle method, an conclusion is given.
5 In the paper , a simulated data under Exponential Distribution is given.
6 Computational results using large commercial and simulated data sets demonstrate that the algorithm can identify provably optimal, robust solutions to realistically sized problems.
7 Experimental results on simulated data prove that our method can keep the good performance of recognition despite the low input SCR.
8 Results of simulated data tests show that the classification rate of the system can achieve 90 %.
9 Chi-square goodness of fit tests are performed on simulated data to compare the fit of the models.
10 Sixthly, To practice arbitrage on the basis of four boundary, we establish and close out positions by using simulated data,(www.Sentencedict.com) then compare the final return to simple arbitrage strategy's.
11 Methods We introduce M estimator and LTS estimator, with breakdown point to discuss their robustness. Also, we compare two simulated data as demonstration.
12 The images of the up - going waves of the simulated data fitted with the geology better.
13 Using the subimage of an unknown target as feature vector and minimum distance rule for target recognition, experiments on simulated data are done.
14 The scheme of the algorithm is shown in this paper, and the results of simulated data and echolocation signal from brown bat demonstrate the validity of the method proposed.
15 Analysis and design of solid-state power synthesizing system based on the slotted waveguide are introduced and the specific simulated data is given.
16 The effectiveness algorithms is evaluated in the experiments with simulated data and real image sequences.
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