Long and thin scanning force cantilevers are sensitive to small forces, but also vulnerable to
detrimental noncontact interactions. Here we present an experiment with a cantilever whose …

We address the problem of autonomous tracking and state estimation for marine vessels,
autonomous vehicles, and other dynamic signals under a (structured) sparsity assumption …

In recent years, image denoising methods based on total variational regularization have
attracted extensive attention. However, the traditional total variational regularization method …

With the development of high spatial resolution spin image and magnetic field distribution
measurement in atomic vapor cell, one can localize the position and calculate the magnetic …

In this letter, we propose a class of efficient, accurate, and general methods for solving state-
estimation problems with equality and inequality constraints. The methods are based on …

In this article, we address the problem of estimating the state and learning of the parameters
in a linear dynamic system with generalized L 1-regularization. Assuming a sparsity prior on …

In this paper, we consider the recovery problem for a two-dimensional (2D) chaos-based
compressed image model, where the measurement matrix is produced by a chaos system …

Nonlinear state estimation using Bayesian filtering and smoothing is still an active area of
research, especially when sparsity-inducing regularization is used. However, even the latest …