G. Bretti, F. Pitolli, An iterative thresholding algorithm for the neural current imaging, preprint.An iterative thresholding algorithm for the neural current imaging, preprint - Bretti, Pitolli () Citation Context ...e, e.g., [6]. In the case the quantity of interest can be modelled as...
De-Mol, An iterative thresholding algorithm for linear inverse problems with a sparsity constraint, Comm. Pure Appl. Math. LVII (2004) 1413鈥 1457; M... M Elad,B Matalon,M Zibulevsky - 《Applied & Computational Harmonic Analysis》 被引量: 371发表: 2007年 An iterative algorithm for linear...
An improved iterative thresholding algorithm for L 1 -norm regularization based sparse SAR imagingiterativefilteringmatchedDear editor,Sparse signal processing techniques have been widely used after being introduced to synthetic aperture radar(SAR)imaging,and have shown desirable potential in imaging ...
7081 A NOVEL ITERATIVE THRESHOLDING ALGORITHM FOR ARCTANGENT REGULARIZATION PROBLEM 5357 A NOVEL LOCAL-GLOBAL FEATURE FUSION FRAMEWORK FOR BODY-WEIGHT EXERCISE RECOGNITION WITH PRESSURE MAPPING SENSORS 6674 A NOVEL MEDICAL IMAGE FUSION FRAMEWORK INTEGRATING MULTI-SCALE ENCODER-DECODER WITH DISCRETE WAVELET DE...
The Federal Government of Nigeria intends to develop the domestic gas market by opening investment opportunity for infrastructural development, and by including gas pipeline construction among her key projects in 2009 budget. The domestic gas market is estimated to have an annual growth potential of ab...
Iterative Thresholding Algorithms:迭代阈值算法 一种实时小波降噪算法_蒋东方 Wavelet Compression:小波压缩 一种自适应小波去噪算法 一种改进的小波阈值去噪算法 一种基于维纳滤波的改进去混响方法 维纳滤波算法优化策略 一种快速均值滤波算法 New Morphological Filtering Algorithm 一种基于小波降噪的GNSS轨迹平滑算法 一种...
(2018) proposed an automatic sparse representation method to identify the transient features with an improved kurtosis index in determining the sparse parameters and an iterative thresholding algorithm in solving the optimization problem [107]. The WT gearbox with the output sun gear pitting fault can...
This can be exploited for faster computation by using the frequency domain, given the Fast Fourier Transform algorithm. Thus, in order to find a shape we can compute the cross-correlation as a multiplication in the frequency domain. However, the matching process in Eq. (5.11) is actually ...
This study presents the K-means clustering-based grey wolf optimizer, a new algorithm intended to improve the optimization capabilities of the conventional grey wolf optimizer in order to address the problem of data clustering. The process that groups similar items within a dataset into non-overlappi...
(2009). A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM Journal. on Imag. Sci., 2(1), 183–202. Article Google Scholar Chen, C., Huang, J., He, L., Li, H. (2014). Preconditioning for accelerated iteratively reweighted least squares in structured ...