scholarly journals Threshold Determination Method for Power Leveling Based on Residual Quantity Transition of Energy Storage and Its Application to Power Leveling Control

2013 ◽  
Vol 49 (2) ◽  
pp. 255-264
Author(s):  
Toshiaki FUNAKUBO ◽  
Yasuhiro ENDO
Keyword(s):  
Energy Storage ◽  
Determination Method ◽  
Threshold Determination ◽  
Leveling Control

scholarly journals Threshold determination method of Duffing chaotic system based on multi-scale entropy

2020 ◽  
Vol 69 (16) ◽  
pp. 160501
Author(s):  
Ze-Hui Huang ◽  
Ya-An Li ◽  
Zhe Chen ◽  
Lian Liu
Keyword(s):  
Chaotic System ◽  
Determination Method ◽  
Multi Scale ◽  
Threshold Determination

scholarly journals A New Wavelet Threshold Determination Method Considering Interscale Correlation in Signal Denoising

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Can He ◽  
Jianchun Xing ◽  
Juelong Li ◽  
Qiliang Yang ◽  
Ronghao Wang
Keyword(s):  
Simulation Experiment ◽  
Simple Calculation ◽  
Signal Denoising ◽  
Determination Method ◽  
Propagation Characteristics ◽  
Correlation Index ◽  
Denoising Method ◽  
Threshold Determination ◽  
New Correlation ◽  
Simulation Results

Due to simple calculation and good denoising effect, wavelet threshold denoising method has been widely used in signal denoising. In this method, the threshold is an important parameter that affects the denoising effect. In order to improve the denoising effect of the existing methods, a new threshold considering interscale correlation is presented. Firstly, a new correlation index is proposed based on the propagation characteristics of the wavelet coefficients. Then, a threshold determination strategy is obtained using the new index. At the end of the paper, a simulation experiment is given to verify the effectiveness of the proposed method. In the experiment, four benchmark signals are used as test signals. Simulation results show that the proposed method can achieve a good denoising effect under various signal types, noise intensities, and thresholding functions.

scholarly journals A Controllable Success Fix Rate Threshold Determination Method for GNSS Ambiguity Acceptance Tests

2019 ◽  
Vol 11 (7) ◽  
pp. 804 ◽  
Author(s):  
Lei Wang ◽  
Ruizhi Chen ◽  
Lili Shen ◽  
Fu Zheng ◽  
Yanming Feng ◽  
...  
Keyword(s):  
Likelihood Ratio ◽  
Failure Rate ◽  
Test Theory ◽  
Acceptance Test ◽  
Determination Method ◽  
Ratio Requirement ◽  
Threshold Determination ◽  
Gnss Data ◽  
The Impact ◽  
Acceptance Tests

GNSS integer ambiguity acceptance test is one of the open problems in GNSS data processing. A number of ambiguity acceptance tests have been proposed from different perspectives and then unified into the integer aperture estimation framework. The existing comparative studies indicate that the impact of test statistics form on the test performance is less critical, while how to construct an efficient, practical test threshold is still challenging. Based on the likelihood ratio test theory, a new computationally efficient ambiguity acceptance test with controllable success fix rate, namely the fixed likelihood ratio (FL-) approach is proposed, which does not require Monte Carlo simulation. The study indicates that the fixed failure rate (FF-) approach can only control the overall failure rate of the acceptance region, but the local failure rate is not controllable. The proposed FL-approach only accepts the fixed solution meeting the likelihood ratio requirement. With properly chosen likelihood ratio threshold, the FL-approach achieves comparable success rate as the FF-approach and even lower failure rate than the FF-approach for the strong underlying model cases. The fixed success fix rate of the FL-approach is verified with both simulation data and real GNSS data. The numerical results indicate that the success fix rate of the FL-approach achieves >98% while the failure rate is <1.5%. The RTK positioning with ambiguities tested by the FL-approach achieved 1–2cm horizontal precision and 2–4 cm vertical precision for all tested baselines, which confirms that the FL-approach can serve as a reliable and efficient threshold determination method for the GNSS ambiguity acceptance test problem.

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