This paper presents a technique for reducing additive noise from audio signals which have nonstationary properties. In the technique, we model a nonstationary signal as a set of tones having various durations. Since it is important to choose an appropriate analysis window size in Spectral Subtraction (SS) for such nonstationary signals, we propose a multi-stage SS technique, in which different ...

This paper deals with the recently proposed detector of chaotic states in nonlinear oscillatory circuits [1]. Detector is based on time-frequency representations of signals generated by oscillators. It can be realized by using cross-terms free (or reduced) representations such as the short-time Fourier transform (STFT). It has been noticed that its accuracy substantially depends on the applied ...

This article aims to review, analyze, and classify the published research applications of Data Envelopment Analysis (DEA) window analysis technique. The number filtered articles included in study is 109, retrieved from 79 journals web science (WoS) database during period 1996–2019. papers are classified into 15 application areas: energy environment, transportation, banking, tourism, manufacturi...

In wireless cellular communications, accurate local mean (shadow) power estimation performed at a mobile station is important for use in power control, handoff, and adaptive transmission. Window-based weighted sample average shadow power estimators are commonly used due to their simplicity. In practice, the performance of these estimators degrades severely when the window size deviates beyond a...

the curriculum development for arabic language skills needs to needs analysis (na) and situation analysis (sa). na examines the linguistic needs and sa examines non-linguistic factors such as societal factors, project factor, institutional factors, teacher factors, learner factors. this work examines the teachers and learners' perceptions as part of the teacher factors and learner factors,...

optimal attributes are useful in interpretation of seismic data. two proposed methods are presented in this paper for finding optimal attributes. regularized discriminate analysis(rda) is based on 2 parameters ë, ? which called regularization parameter. the other method is principal component analysi s(pca).in this paper gas chimney detection is defined as the subject of study for ranking relev...