supported by the National Natural Science Foundation of China under Grant No.61973291。
In this work,a novel gradient descent method based on event-triggered strategy has been proposed,which involves integer and fractional order iteration.Firstly,the convergence of integer order iterative optimization me...
This work is supported by the National Natural Science Foundation of China(No.61472324).
For muti-scatter point target and undersampled data,tradintional imaging method has a poor precision for imaging result and spin angular velocity.In view of the above problems,this paper proposes a narrow-band Interfe...
Supported by the National Natural Science Foundation of China(No.61340034);the Research Program of Application Foundation and Advanced Technology of Tianjin(No.13JCYBJC15600)
As an ill-posed problem, multiframe blind super resolution imaging recovers a high resolution image from a group of low resolution images with some degradations when the information of blur kernel is limited. Note tha...
supported by the Key Project of the National Natural Science Foundation of China (11132007)
Model reduction technique is usually employed in model updating process. In this paper, a new model updat- ing method named as cross-model cross-frequency response function (CMCF) method is proposed and a new iterat...
Project supported by the National Natural Science Foundation of China (No. 50578168);the Natural Science Foundation of CQ CSTC (No. 2007BB2396)
To improve performance of a support vector regression, a new method for a modified kernel function is proposed. In this method, information of all samples is included in the kernel function with conformal mapping. Thu...