6 citations · 14 across the 7 of their papers we have counts for
7 papers
Stochastic Variance Reduced Gradient for affine rank minimization problem
Ningning Han, Juan Nie, Jian Lu +1
We develop an efficient stochastic variance reduced gradient descent algorithm to solve the affine rank minimization problem consists of finding a matrix of minimum rank from linea…
Orthogonal subspace based fast iterative thresholding algorithms for joint sparsity recovery
Ningning Han, Shidong Li, Jian Lu
Sparse signal recoveries from multiple measurement vectors (MMV) with joint sparsity property have many applications in signal, image, and video processing. The problem becomes muc…
A Chirplet Transform-based Mode Retrieval Method for Multicomponent Signals with Crossover Instantaneous Frequencies
Lin Li, Ningning Han, Qingtang Jiang +1
In nature and engineering world, the acquired signals are usually affected by multiple complicated factors and appear as multicomponent nonstationary modes. In such and many other…
Efficient iterative thresholding algorithms with functional feedbacks and convergence analysis
Ningning Han, Shidong Li, Zhanjie Song
An accelerated class of adaptive scheme of iterative thresholding algorithms is studied analytically and empirically. They are based on the feedback mechanism of the null space tun…
Theory inspired deep network for instantaneous-frequency extraction and signal components recovery from discrete blind-source data
Charles K. Chui, Ningning Han, Hrushikesh N. Mhaskar
This paper is concerned with the inverse problem of recovering the unknown signal components, along with extraction of their instantaneous frequencies (IFs), governed by the adapti…
The convergence guarantee of the iterative thresholding algorithm with suboptimal feedbacks for large systems
Zhanjie Song, Shidong Li, Ningning Han
Thresholding based iterative algorithms have the trade-off between effectiveness and optimality. Some are effective but involving sub-matrix inversions in every step of iterations.…