Control Performance Management in Industrial Automation provides a coherent and self-
contained treatment of a group of methods and applications of burgeoning importance to the …

The automatic and accurate P phase arrival identification is a fundamental problem for
seismologists worldwide. Several approaches have been reported in the literature, but most …

The performance of ground-based surveillance radars strongly depends on the distribution
and spectral characteristics of ground clutter. To design signal processing algorithms that …

We describe a symbolic approach for measuring temporal “irreversibility” in time-series
measurements. Temporal irreversibility is important because it excludes Gaussian linear …

This paper presents a method for the automatic classification of digital modulations without a
priori knowledge of the signal parameters. This method can recognize classical single …

Inverse synthetic aperture radar (ISAR) images are frequently used in target classification
and recognition applications. Some classifiers often require features that can be more easily …

This paper deals with modulation classification. Our goal is to discriminate single-carrier
(SC) modulations from multicarrier (MC) modulations of OFDM type. Because MC …

The fourth-order cumulant matching method has been developed recently for estimating a
mixed-phase wavelet from a convolutional process. Matching between the trace cumulant …

In recent years an abundance of technical papers and books have been written on several
topics of radar signal processing. The detection of radar targets against ground and sea …

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 …