In this paper, a concise survey of the literature on cyclostationarity is presented and includes
an extensive bibliography. The literature in all languages, in which a substantial amount of …

We have reviewed the estimation of 2D motion from time-varying images, paying particular
attention to the underlying models, estimation criteria, and optimization strategies. Several …

Processes encountered in statistical signal processing, communications, and time series
analysis applications are often assumed stationary. The plethora of available algorithms …

The last fifteen years have witnessed a tremendous resurgence in research and applications
in the area of higher-order statistics (HOS), a broad term encompassing statistical …

Predictive motion estimation techniques have become widely used in video coding systems
due to their reasonable coding performance and low computational requirement compared …

Nonstationary signals appear often in real-life applications and many of them can be
modeled as polynomial-phase signals (PPS). High-order ambiguity function (HAF) was first …

A robust, flexible system for tracking the point to point nonrigid motion of the left ventricular
(LV) endocardial wall in image sequences has been developed. This system is unique in its …

This paper presents a novel motion parameter estimation (ME) algorithm based on the
spatio-temporal continuous wavelet transform (CWT). The multidimensional nature of the …

High-order ambiguity function (HAF) is an effective tool for retrieving coefficients of
polynomial phase signals (PPS). The lag choice is dictated by conflicting requirements: a …

This paper presents a fast technique for fine estimation of two-dimensional (2-D)
parameters, based on a parabolic interpolation of the same ambiguity function samples, and …