Sparse recovery under nonnegativity and sum-to-one constraints

Robust sparse representation based on fitting error decomposition

Robust DOA estimation with distorted sensors

ROCS: Robust one-bit compressed sensing with application to direction of arrival

A reliable singular-vector pre-coded OFDM-DCSK system over doubly selective fading channels

Truncated quadratic norm minimization for bilinear factorization based matrix completion

One-bit DoA estimation for deterministic signal based on l{2,1}-norm minimization

Robust recovery for graph signal via l0-norm regularization

Robust low-rank matrix recovery as mixed integer programming via l0-norm optimization

MUSIC with capped Frobenius norm: Efficient robust direction-of-arrival estimator

Adaptive rank-one matrix completion using sum of outer products

Robust and energy efficient sparse-coded OFDM-DCSK system via matrix recovery

l0-Norm minimization based robust matrix completion approach for MIMO radar target localization

Robust PCA via non-convex half-quadratic regularization

Robust tensor completion via capped Frobenius norm

Fast robust matrix completion via entry-wise l0-norm minimization

An interpretable bi-branch neural network for matrix completion

Robust matrix completion via truncated-quadratic function and half-quadratic optimization

Cardinality constrained portfolio optimization via alternating direction method of multipliers

Sparse index tracking with k-sparsity or epsilon-deviation constraint via l0-norm minimization

Efficient low-rank matrix factorization based on l1,ε-norm for online background subtraction

From simulated to visual data: A robust low-rank tensor completion approach using lp-regression for outlier resistance

Optimum codesign for image denoising between type-2 fuzzy identifier and matrix completion denoiser

Robust receiver for OFDM-DCSK modulation via rank-1 modeling and lp-minimization

Two-dimensional localization: Low-rank matrix completion with random sampling in massive MIMO system

Robust low-rank tensor completion based on tensor ring rank via l{p,epsilon}-norm

Rank-one matrix approximation with lp-Norm for image inpainting

面向无人机数据回传的压缩采样技术: 机会与挑战