Robust M-periodogram is defined for the analysis of signals with heavy-tailed distribution noise. In the form of a robust spectrogram (RSPEC) it can be used for the analysis of nonstationary signals. In this paper a RSPEC based instantaneous frequency (IF) estimator, with a timevarying window length, is presented. The optimal choice of the window length can resolve the bias-variance tradeoff in...

Several time-variant fuzzy time series models have been developed during the last decade. These models usually focus on forecasting stationary of trend time series, but they are not suitable for forecasting seasonal time series. Furthermore, several factors that affect the forecasting accuracy are not carefully examined, such as interval length, interval number, and level of window base. Aiming...

The power saving class of type II (PSC II), one of the sleep mode operations in the IEEE 802.16e standard, is designed to reduce power consumption for unsolicited grant service (UGS) and real-time variablerate (RT-VR) connections. However, the configuration of fixed-length listening windows in the PSC II incurs unnecessary energy consumption or packet loss for these types of connections. In ord...

In this paper, we present an analytical TCP model that takes into account of several issues that were ignored in the other existing models (such as those in [15], [19]), i.e., (i) the congestion window is not gradually decreased at the rate of w 2p 2 , but suddenly halved upon receipt of congestion indication and (ii) the congestion window is halved at most once during one roundtrip time (RTT)....

This paper considers the proposed algorithm submitted to the Music Information Retrieval Evaluation eXchange (MIREX) 2010 “Audio Melody Extraction” task. The proposed melody extraction algorithm can be divided into three steps: (1) a spectral analysis using a variable length window, (2) a pitch candidate estimation, and (3) a pitch sequence identification. In the first step, the short-time Four...

Here, we derive optimal tuning functions for minimum mean square reconstruction from neural rate responses subjected to Poisson noise. The shape of these tuning functions strongly depends on the length T of the time window within which action potentials (spikes) are counted in order to estimate the underlying firing rate. A phase transition towards pure binary encoding occurs if the maximum mea...

We consider optimal control problems for a class of hybrid systems with switches dependent on an external event process. In the case where all event times in this process are fully known, the solution to such problems was obtained in prior work. When event times are uncertain or unknown, we propose a Receding Horizon (RH) control scheme in which only some future event information is available w...

Two recursive least-squares (RLS) adaptive filtering algorithms are most often used in practice, the exponential and sliding (rectangular) window RLS algorithms. This popularity is mainly due to existence of low-complexity versions these However, two windows not always best choice for identification fast time-varying systems, when performance important. In this paper, we show how with arbitrary...

Daylight in classrooms is a critical factor in school design, in terms of its impact on students’ health, learning and visual performance. Providing adequate amount of evenly distributed daylight and glare prevention are important challenges in classroom design. Window configuration significantly affects the intensity and uniformity of daylight. This paper aims to investigate the effect o...

We address the question of finite-size scaling in percolation by studying bond percolation in a finite box of side length n, both in two and in higher dimensions. In dimension d = 2, we obtain a complete characterization of finite-size scaling. In dimensions d > 2, we establish the same results under a set of hypotheses related to so-called scaling and hyperscaling postulates which are widely b...