High spatial resolution satellite (HRS) images are being extensively utilized for the detection
of changes like urban dynamics, infrastructure surveillance, disaster management, and …

Exactly and asymptotically optimal algorithms are developed for robust detection of changes
in nonstationary processes. In nonstationary processes, the distribution of the data after …

In this letter we present a novel framework for quickly detecting a change in a general
dependent stochastic process. We propose that any general dependent Bayesian quickest …

In high-mobility wireless communications and radar systems, a higher carrier frequency and
higher moving speed/acceleration of terminals enhance the impact of the time-varying …

The problem of robust quickest change detection (QCD) in non-stationary processes under a
multi-stream setting is studied. In classical QCD theory, optimal solutions are developed to …

Algorithms are developed for the quickest detection of a change in statistically periodic
processes. These are processes in which the statistical properties are nonstationary but …

Abstract Theory and algorithms are developed for detecting changes in the distribution of
statistically periodic random processes. The statistical periodicity is modeled using …

We consider a network of sensors, tasked with solving binary distributed detection, a fusion
center (FC), and a feedback channel from the FC to sensors. Each sensor is capable of …

The problem of detecting the presence of a signal that can lead to a disaster is studied. A
decision-maker collects data sequentially over time. At some point in time, called the change …

The problem of quickest detection of a change in the distribution of a sequence of random
variables is studied. The objective is to detect the change with the minimum possible delay …