• Adaptive active control of free space acoustic noise 

      Ardekani, Iman; Abdulla, W. H. (Published by the Acoustical Society of America through the American Institute of Physics, 2013)
      This paper concerns adaptive active control of acoustic noise in free space. Conventional adaptive active noise control algorithms are efficient in acoustic ducts or headphones; however, they are very sensitive when being ...
    • Efficient FXLMS algorithm with simplified secondary path models. 

      Ardekani, Iman; Sharifzadeh, Hamid Reza; Rehman, Saeed; Abdulla, W. H. (IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015)
      his paper extends the existing work on the root locus analysis of FxLMS algorithm by considering secondary path modeling errors. Rules for sketching FxLMS root locus are set out. An analytic convergence condition is then ...
    • On the stochastic modeling and analysis of FxLMS adaptation algorithm 

      Ardekani, Iman; Abdulla, W. H. (The Institution of Engineering and Technology, 2013)
      This study represents a stochastic model for the adaptation process performed on adaptive control systems by the filtered-x least-mean-square (FxLMS) algorithm. The main distinction of this model is that it is derived ...
    • Physical classification and recent developments of active noise control systems 

      Munir, M.W.; Abdulla, W. H.; Ardekani, Iman; Patel, N. (Association for Computing Machinery (ACM), 2017-11)
      The rapid growth of the industry has a major effect on the environmental noise pollution, and it ranks second to the air pollution that adversely affects the human health. Passive noise control techniques are impractical ...
    • Psychoacoustically motivated active noise control at remote locations 

      Munir, M.W.; Abdulla, W. H.; Ardekani, Iman (2019)
      Active noise control (ANC) is an effective way to cancel the low-frequency noise. The conventional ANC system creates the ‘zone of quiet’ by minimizing the mean square error (MSE) at the location of an error microphone. ...
    • Remote FxLMS algorithm for active control of sound in remote locations 

      Ardekani, Iman; Abdulla, W. H.; Rehman, Saeed (Asia-Pacific Signal and Information Processing Association (APSIPA), 2014)
      Available adaptive control algorithms can only create a silent point at the locations of an error microphone. In this case, the error microphone occupies a part of the zone of quiet established around the silent point, ...
    • Stability of residual acoustic noise variance in active control of stochastic noise 

      Ardekani, Iman; Abdulla, W. H. (Institute of Electrical and Electronics Engineers, 2013)
      This paper concerns about the theoretical stability of the adaptation process performed by the Filtered-x Least Mean Square (FxLMS) algorithm in active control of acoustic noise. A dynamic model for the Variance of Residual ...

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