The present bibliography represents a comprehensive list of references on nonlinear system
identification and its applications in signal processing, communications, and biomedical …

We develop multicomponent AM-FM models for multidimensional signals. The analysis is
cast in a general n-dimensional framework where the component modulating functions are …

Time-frequency distributions that evaluate the signal's energy content both in the time and
frequency domains are indispensable signal processing tools, especially, for nonstationary …

Two new two dimensional (2-D) complex operators for estimating the energy and orientation
of 2-D oriented patterns are proposed. The starting point for our work is a new 2-D extension …

In this paper, we examine how energy computation and filterbank design contribute to the
overall front-end robustness, especially when the investigated features are applied to noisy …

We develop a mathematical framework for quantifying and understanding multidimensional
frequency modulations in digital images. We begin with the widely accepted definition of the …

Research on fingerprint classification has primarily focused on finding improved classifiers,
image and feature enhancement, and less on the development of novel fingerprint …

We provide an automated method to repair broken, occluded oriented image textures. Our
approach is based on partial differential equations (PDEs) and AM-FM image modeling …

An approach to the joint estimation of sine-wave amplitude modulation (AM) and frequency
modulation (FM) is described based on the transduction of frequency modulation into …

Describes the application of an amplitude modulation-frequency modulation (AM-FM) image
representation in segmenting electron micrographs of skeletal muscle for the recognition …