19 citations · 19 across the 12 of their papers we have counts for
12 papers
A Sequential Detection and Tracking of Very Low SNR Objects
Reza Rezaie
A sequential detection and tracking (SDT) approach is proposed for detection and tracking of very low signal-to-noise (SNR) objects. The proposed approach is compared with two exis…
Track Before Detect of Low SNR Objects in a Sequence of Image Frames Using Particle Filter
Reza Rezaie
A multiple model track-before-detect (TBD) particle filter-based approach for detection and tracking of low signal to noise ratio (SNR) objects based on a sequence of image frames…
Mathematical Modeling of Guidance Trajectory with a Moving Destination Using Conditionally Markov Modeling
Reza Rezaie, X. Rong Li
A trajectory of a destination-directed moving object (e.g. an aircraft from an origin airport to a destination airport) has three main components: an origin, a destination, and mot…
Model Design and Representations of CM Sequences
Reza Rezaie, X. Rong Li
Conditionally Markov (CM) sequences are powerful mathematical tools for modeling problems. One class of CM sequences is the reciprocal sequence. In application, we need not only CM…
Equivalent CM Models
Reza Rezaie, X. Rong Li
The conditionally Markov (CM) sequence contains different classes, including Markov, reciprocal, and so-called and (two CM classes defined in our previous work). Mark…
Singularity in CM Sequences
Reza Rezaie, X. Rong Li
Most existing results about modeling and characterizing Gaussian Markov, reciprocal, and conditionally Markov (CM) processes assume nonsingularity of the processes. This assumption…
CM Modeling of Trajectory
Reza Rezaie, X. Rong Li
Information about the waypoints of a moving object, e.g., an airliner in an air traffic control (ATC) problem, should be considered in trajectory modeling and prediction. Due to th…
CM Sequence based Trajectory Modeling with Destination
Reza Rezaie, X. Rong Li
In some problems there is information about the destination of a moving object. An example is an airliner flying from an origin to a destination. Such problems have three main comp…
Markov-Induced CM Model
Reza Rezaie, X. Rong Li
Conditionally Markov (CM) sequences are powerful mathematical tools for modeling random phenomena. There are several classes of CM sequences one of which is the reciprocal sequence…
Sample-Path Equivalent CM Models
Reza Rezaie, X. Rong Li
The conditionally Markov (CM) sequence contains different classes including Markov, reciprocal, and so-called and (two special classes of CM sequences). Each class ha…
Reciprocal Sequences as CM Sequences
Reza Rezaie, X. Rong Li
The conditionally Markov (CM) sequence contains several classes, including the reciprocal sequence. Reciprocal sequences have been widely used in many areas of engineering, includi…
Fundamentals of Gaussian CM Sequences
Reza Rezaie, X. Rong Li
Markov processes are widely used in modeling random phenomena/problems. However, they may not be adequate in some cases where more general processes are needed. The conditionally M…