To a large extent noise suppression algorithms have been designed to deal with the two most classically defined types of noise: impulsive and Gaussian noise. However digitized imag...
Approximate symbolic computation problems can be formulated as constrained or unconstrained optimization problems, for example: GCD [3, 8, 12, 13, 23], factorization [5, 10], and ...
Multi-reference frame motion estimation improves the accuracy of motion compensation in video compression, but it also dramatically increases computational complexity. Based on tr...
We derive the clustering problem from first principles showing that the goal of achieving a probabilistic, or ”hard”, multi class clustering result is equivalent to the algeb...
An ad hoc or sensor network that is employed for security sensitive applications is expected to tolerate a certain quantity of maliciously behaving nodes. Algorithms must be desig...