Spectral decomposition is an important tool for analysis of seismic data.This paper deals with the time-frequency analysis of non-stationary signals.Time-frequency method is a primary tool to analyze the evolving spectra of non-stationary signals. Short Time Fourier Transform (STFT) is a fundamental time-frequency method which reveals the frequency contents of the signal at each time point. The...

With the continuous attention of modern search engines to retrieve entities and not just documents for any given query, we introduce a new method for enhancing the entity-ranking task. An entity-ranking task is concerned with retrieving a ranked list of entities as a response to a specific query. Some successful models used the idea of association discovery in a window of text, rather than in t...

Discovering interesting episodes is a popular area in temporal or sequential data mining, examples of which are mining text or protein sequences. In such data, the order in which the events appear is being analysed and the user’s goal is to identify the regularities that may appear in the dataset, consisting of one or more sequences. The usual approach to episode discovery is to look for episod...

This extended abstract details a submission to the Music Information Retrieval Evaluation eXchange in the Audio Beat tracking task. The basic idea is based on the algorithm which submitted by Daniel P.W. Ellis in MIREX 2006. We consider about the energy of beats in order to approximate the human auditory system and improve tracking accuracy. I. BEAT TRACKING WITH A MOVING WINDOW In MIREX 2009, ...

Functional brain networks reconfigure spontaneously during rest. Such network dynamics can be studied by dynamic functional connectivity (dynFC); i.e., sliding-window correlations between regional brain activity. Key parameters-such as window length and cut-off frequencies for filtering-are not yet systematically studied. In this letter we provide the fundamental theory from signal processing t...

Motivated by the advances in computer technology and the fact that the batch/block least-squares (LS) produces more accurate parameter estimates than its recursive counterparts, several important issues associated with the block LS have been re-examined in the framework of on-line identification of systems with abrupt/gradual change parameters in this paper. It is no surprise that the standard ...

Estimation of the instantaneous frequency (IF) of a harmonic complex-valued signal with an additive noise using the Wigner distribution is considered. If the IF is a nonlinear function of time, the bias of the estimate depends on the window length. The optimal choice of the window length, based on the asymptotic formulae for the variance and bias, can be used in order to resolve the bias-varian...

Nonparametric algorithm for the instantaneous frequency (IF) estimation, by using the Wigner distribution (WD) with an adaptive window length, is considered in the paper. This algorithm produces a bias-to-variance trade-o7 close to optimal, meaning almost minimal mean squared error (MSE) of the estimation. Thus, the adaptive window length is characterized by a small bias at the considered insta...

In order to obtain target velocity in radar systemswe use Doppler filters. For good target velocity estimation, itis necessary to apply adaptive length window functions. Theoptimum length is primarily influenced by the targetdynamics, expressed in its acceleration, and the signal tonoise ratio of the obtained echo. Using criterion of minimalcumulative error of estimation...