This paper is a tutorial on Hilbert transform applications to mechanical vibration. The
approach is accessible to non-stationary and nonlinear vibration application in the time …

Fractal time series substantially differs from conventional one in its statistic properties. For
instance, it may have a heavy-tailed probability distribution function PDF, a slowly decayed …

RANDOM DATA A TIMELY UPDATE OF THE CLASSIC BOOK ON THE THEORY AND
APPLICATION OF RANDOM DATA ANALYSIS First published in 1971, Random Data …

Differential evolution (DE) has recently proven to be an efficient method for optimizing real-
valued multi-modal objective functions. Besides its good convergence properties and …

Fast Fourier Transform-Algorithms and Applications presents an introduction to the
principles of the fast Fourier transform (FFT). It covers FFTs, frequency domain filtering, and …

Multirate Signal processing can improve system performance and reduce costs in
applications ranging from laboratory instruments, cable modems, wireless systems …

This paper is devoted to the presentation of a new linear and nonlinear filter modeling based
on a gravitational search algorithm (GSA). To do this, unknown filter parameters are …

Signal processing is a broad and timeless area. The term" signal" includes audio, video,
speech, image, communication, geophysical, sonar, radar, medical, and more. Signal …

This paper assesses the predictability of network traffic by considering two metrics:(1) how
far into the future a traffic rate process can be predicted with bounded error;(2) what the …

Medium-term electric energy demand forecasting is an essential tool for power system
planning and operation, mainly in those countries whose power systems operate in a …