Conventional affine projection (AP) algorithm with a fixed order is subject to tradeoff between convergence speed and steady-state misalignment. In address such problem, switching mechanism on the of AP proposed by comparing performance two algorithms different orders. Firstly, mean square deviations (MSD) behavior analyzed, calculation formula for computing MSD at each iteration derived. Secon...

We discuss the relevance of coherent states based methods in signal processing applications, and illustrate with a couple of practical examples, namely problems of waveform detection in a noisy environment, and problems of spectral analysis for non stationary time series.

Simple exponential smoothing (SES) methods are the most commonly used methods in forecasting and time series analysis. However, they are generally insensitive to non-stationary structural events such as level shifts, ramp shifts, and spikes or impulses. Similar to that of outliers in stationary time series, these non-stationary events will lead to increased level of errors in the forecasting pr...

Linear stability of double diffusive convection of Darcy-Maxwell fluid with Soret and Dufour effects is investigated. The effects of the Soret and Dufour numbers, Lewis number, relaxation time and solutal Darcy Rayleigh number on the stationary and oscillatory convection are presented graphically. The Dufour number enhances the stability of Darcy-Maxwell fluid for stationary convection while it...

paper mills are characterized as polluting industries, these use pulping process for papermanufacturing, due to which toxic chemicals released into environment. therefore, the biological oxygendemand (bod), chemical oxygen demand (cod) of the emanating stream is high and dissolved oxygen (do) is low. to resolve this predicament, two dominant bacteria bacillus subtilis and micrococcus luteus, an...

‎in this work we introduce and study discrete time periodically correlated stable‎ ‎processes and multivariate stationary stable processes related to periodic and cyclic‎ ‎flows‎. ‎our study involves producing a spectral representation and a‎ ‎spectral identification for such processes‎. ‎we show that the third‎ ‎component of a periodically correlated stable process has a component related to a...

spatial-temporal modeling of air pollutants, ground-level ozone concentrations in particular, has attracted recent attention because by using spatial-temporal modeling, can analyze, interpolate or predict ozone levels at any location. in this paper we consider daily averages of troposphere ozone over tehran city. for eliminating the trend of data, a dynamic linear model is used, then some featu...