In this paper we present the Multiple SubFilters (MSF) parallel structure, LMS adaptive algorithm, for acoustic echo cancellation. The performance of the MSF based echo canceller has been compared with conventional echo canceller which is a Single Long Filter (SLF) used to model the impulse response of the acoustic echo channel. The convergence performance of the MSF parallel structure is studi...

the objective in this study was to assess the performance of the control algorithms and determine the appropriate controller for aghili irrigation network. to evaluate the efficiency of the control algorithms, the performance criteria of the maximum absolute error, integral absolute error and steady state error were considered during the simulations of a one month period and with regard to the ...

Due to the importance of longest path analysis in networks of queues, we develop an analytical method for computing the steady-state distribution function of longest path in acyclic networks of queues. We assume the network consists of a number of queuing systems and each one has either one or infinite servers. The distribution function of service time is assumed to be exponential or Erlang. Fu...

the purpose of load frequency control is to reduce transient oscillation frequencies than its nominal valueand achieve zero steady-state error for it.a common technique used in real applications is to use theproportional integral controller (pi). but this controller has a longer settling time and a lot of extramutation in output response of system so it required that the parameters be adjusted ...

To overcome the tradeoff of the conventional normalized least mean square (NLMS) algorithm between fast convergence rate and low steady-state misalignment, this paper proposes a variable step size (VSS) NLMS algorithm by devising a new strategy to update the step size. In this strategy, the input signal power and the cross-correlation between the input signal and the error signal are used to es...

Designing a Least Mean Square (LMS) family adaptive algorithm includes solving the wellknown trade-off between the initial convergence speed and the mean-square error in steady state according to the requirements of the application at hands. The trade-off is controlled by the step-size parameter of the algorithm. Large step size leads to a fast initial conver‐ gence but the algorithm also exhib...

This communication studies the quantization effects on the steady-state performance of a fixed-point implementation of the Least Mean Squares (LMS) adaptive algorithm. Based on experimental observations, we introduce a new intermediate mode of operation and develop a simplified theoretical approach to explain the behaviour caused by quantization effects in this mode. We also review the stall mo...

In this paper, we present the steady state analysis of adaptive IIR notch filters based on the least mean -power error criterion. We consider the cases when the sinusoidal signal is contaminated with white Gaussian noise and . We first derive two difference equations for the convergence of the mean and the Mean Square Error (MSE) of the adaptive filter’s notch coefficient, and then give the ste...

In order to obtain more accurate predicted dynamic steady-state performance with shorter computation time, an available mathematical model is modified and presented. Using this modified model, performance of a typical switched reluctance motor (SRM) under a wide range of variations of operating conditions is obtained and discussed. These include variations of speed, voltage, load and switching ...