Mishra, Sambit Kumar and Sarma, Nilim Chandra (2009) A Novel Method for Acoustic Noise Cancellation. BTech thesis.
Over the last several years Acoustic Noise Cancellation (ANC) has been an active area of research and various adaptive techniques have been implemented to achieve a
better online acoustic noise cancellation scheme. Here we introduce the various adaptive techniques applied to ANC viz. the LMS algorithm, the Filtered-X LMS algorithm, the Filtered-S LMS algorithm and the Volterra Filtered-X LMS algorithm and try to understand their performance through various simulations. We then take up the problem of cancellation of external acoustic feedback in hearing aid. We provide three different models to achieve the feedback cancellation. These are - the adaptive FIR Filtered-X LMS, the adaptive IIR LMS and the adaptive IIR PSO models for
external feedback cancellation. Finally we come up with a comparative study of the performance of these models based on the normalized mean square error minimization provided by each of these feedback cancellation schemes.
|Item Type:||Thesis (BTech)|
|Uncontrolled Keywords:||Acoustic Noise Cancellation, Acoustic feedback cancellation, Hearing aid, Adaptive filtering|
|Subjects:||Engineering and Technology > Electronics and Communication Engineering > Adaptive Systems|
Engineering and Technology > Electronics and Communication Engineering > Soft Computing
|Divisions:||Engineering and Technology > Department of Electronics and Communication Engineering|
|Deposited By:||MR. Sambit Kumar Mishra|
|Deposited On:||11 May 2009 10:57|
|Last Modified:||11 May 2009 10:57|
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