Sayed Mostafa Taheri

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In this paper, we propose using distributed diffusion adaptive networks for acoustic signature identification, as a time-varying autoregressive (TVAR) stochastic model. A distributed adaptive sensor network considers spatio-temporal challenges simultaneously. To analyze diffusion networks under TVAR modeling problem circumstances, we investigate and(More)
In this paper, we propose three different algorithms capable of facing spatio-temporal variations for parametric modeling and power spectral density (PSD) estimation using Wireless Sensor Networks (WSNs). To do this, we first validate the proposed algorithms using theoretical and mathematical formulations. Afterwards, employing simulation tasks supports the(More)
In this paper, we thoroughly investigate the tracking behavior of a wide range of adaptive networks under non-stationary conditions. Under these conditions, we study and analyze the mean-square-error performance of all centralized, incremental, and diffusion algorithms for adaptive networks. The closed forms of the steady-state mean-square deviation (MSD)(More)
In this paper, we propose employing distributed incremental adaptive networks for the aim of acoustic signature identification, as a time-varying autoregressive (TVAR) stochastic model. A distributed adaptive sensor network considers spatiotemporal challenges simultaneously. By formulating the problem under non-stationary conditions, we proceed showing the(More)
Analog-to-digital converters (ADC) are one the most fundamental and crucial parts of an electronic device. Consequently, simulating an ADC plays a challenging and fundamental role while aiming to simulate real-world instruments and designed systems. Despite the fundamental significance of this task, a general simulation model for typical non-ideal ADCs have(More)
Evaluation of the determinant of a square matrix is an important issue in science and engineering for different types of applications. Several methods have been already proposed, but there are some limitation and also drawbacks using each method in particular applications. In this paper we present a novel method for determining the determinant of a square(More)
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