a windowing function that is based on the well-known Butterworth filters was proposed [1] with the claim that it can solve " the tradeoff problem between the frequency resolution and spectral leakage in the estimated power spectral density, unavoidable with the conventional windows. " That claim is a consequence of not considering the available time duration in the window design for which we pr...

In recent years, researchers have given emphasis on the differences in physiological parameters between early and late hatched chicks within a hatch window. Considering the importance of intestine development in newly hatched chicks, however, changes in gene expression of nutrient transporters in the jejunum of early hatched chicks within a hatch window have not been studied yet. This study was...

We establish Erdös-Rényi limit laws for Lipschitz observations on a class of non-uniformly expanding dynamical systems, including logistic-like maps. These limit laws give the maximal average of a time series over a time window of logarithmic length. We also give results on maximal averages of a time series arising from Hölder observations on intermittent-type maps over a time window of polynom...

In this paper, we propose a segment-based matching pursuit algorithm where the psychoacoustical properties of the human auditory system are taken into account. Rather than scaling the dictionary elements according to auditory perception, we define a psychoacoustic-adaptive norm on the signal space which can be used for assigning the dictionary elements to the individual segments in a rate-disto...

When dealing with seizure detection/prediction problems, there are three main performance metrics that must be optimized: false positive rate, false negative rate, detection delay or, if the problem is seizure prediction, it is desirable to obtain the greatest prediction time achievable. Tuning specific extracted features to individual patients can lead to improved results. The processing windo...

The data describing bovines’ displacements are recorded on a daily basis, making it possible to construct different network representations according to different assumptions or aggregating on different time window lengths [1] [2]. In particular, we simulated the spread of an infectious disease on networks aggregated on a daily, weekly, monthly and yearly scale. The choice of the aggregating ti...

Suppose we have a renewal process observed over a fixed length of time starting from a random time point and only the times of renewals that occur within the observation window are recorded. Assuming a parametric model for the renewal time distribution with parameter θ , we obtain the likelihood of the observed data and describe the exact and asymptotic behavior of the Fisher information (FI) o...

In this paper, an efficient multiuser detection scheme with low decision delay is proposed for asynchronous variable processing gain (VPG) DS/CDMA systems in mobile radio channels without any restrictions on processing gains. An equivalent synchronous single bit rate DS/CDMA system is first formulated to break up the detection problem into the blocks of finite length called processing windows. ...

In the paper the author introduces FCW_MRFI, which is a streaming data frequent item mining algorithm based on variable window. The FCW_MRFI algorithm can mine frequent item in any window of recent streaming data, whose given length is L. Meanwhile, it divides recent streaming data into several windows of variable length according to m, which is the number of the counter array. This algorithm c...

SKeFiS is a symbolic (Musical Instrument Digital Interface) key finding system that incorporates pitch spelling, key finding, and a cumulative window strategy for determining key. After selection of the window to be considered, key recognition is considered a compound process: one of first determining the spelling of the pitches from numeric pitch information (MIDI), then extracting key from th...