The experiment results validate the correctness and validity of the algorithm by using the celestial spectrum data as the formal context.
采用恒星天体光谱数据作为形式背景，实验验证了算法的正确性和有效性。
To identify the echoes of low signal to noise ratio, we can apply the algorithm by using scale coefficients of wavelet transformation in place of the basic signal.
对于低信噪比的回波可以采用其小波变换后的尺度系数代替原信号使用本算法来识别。
Lastly, this paper tests the algorithm by using NS-2 and comes to the conclusion that the algorithm can reduce probe packet's number greatly, so it can lighten the network burden.
最后本文利用NS - 2仿真软件对该算法进行了仿真并得出结论，该算法可以大大减少探测包的数量，因此减轻了网络负担。
In this paper, simulation is made for the algorithm by using MATLAB. Simulation results and experimental data have proved the algorithm's feasibility and effect, and have certain application value.
本文采用MATLAB平台对所述算法行了仿真，仿真结果和试验数据证明了本文所提算法的可行性和有效性，具有一定的应用价值。
In this paper, simulation is made for the algorithm by using MATLAB. Simulation results and experimental data have proved the algorithm's feasibility and effect, and have certain application value.
本文采用MATLAB平台对所述算法行了仿真，仿真结果和试验数据证明了本文所提算法的可行性和有效性，具有一定的应用价值。
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