Glottal source estimation: Methods of applying the LF-model to inverse filtering

Author(s):  
E.L. Riegelsberger ◽  
A.K. Krishnamurthy
2012 ◽  
Vol 26 (1) ◽  
pp. 20-34 ◽  
Author(s):  
Thomas Drugman ◽  
Baris Bozkurt ◽  
Thierry Dutoit

2011 ◽  
Vol 53 (6) ◽  
pp. 855-866 ◽  
Author(s):  
Thomas Drugman ◽  
Baris Bozkurt ◽  
Thierry Dutoit

2017 ◽  
Vol 139 (6) ◽  
Author(s):  
Sharefa Asiri ◽  
Shahrazed Elmetennani ◽  
Taous-Meriem Laleg-Kirati

In this paper, an online estimation algorithm of the source term in a first-order hyperbolic partial differential equation (PDE) is proposed. This equation describes heat transport dynamics in concentrated solar collectors where the source term represents the received energy. This energy depends on the solar irradiance intensity and the collector characteristics affected by the environmental changes. Control strategies are usually used to enhance the efficiency of heat production; however, these strategies often depend on the source term which is highly affected by the external working conditions. Hence, efficient source estimation methods are required. The proposed algorithm is based on modulating functions method (MFM) where a moving-horizon strategy is introduced. Numerical results are provided to illustrate the performance of the proposed estimator in open-and closed-loops.


Author(s):  
Fei Zhang ◽  
Zijing Zhang ◽  
Aisuo Jin ◽  
Chuantang Ji ◽  
Yi Wang

AbstractAiming at the problem that traditional direction of arrival (DOA) estimation methods cannot handle multiple sources with high accuracy while increasing the degrees of freedom (DOF), a new method for 2-D DOA estimation based on coprime array MIMO radar (SA-MIMO-CA) is proposed. First of all, in order to ensure the accuracy of multi-source estimation when the number of elements is finite, a new coprime array model based on MIMO (MIMO-CA) is proposed. This method is based on a new MIMO array-based co-prime array model (MIMO-CA), which improves the accuracy of multi-source estimation when the number of array elements is limited, and obtains a larger array aperture with a smaller number of array elements, and improves the estimation accuracy of 2-D DOA. Finally, the effectiveness and reliability of the proposed SM-MIMO-CA method in improving the DOF of array and DOA accuracy are verified by experiments.


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