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Content Provider | IET Digital Library |
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Author | Vasundhara Panda, G. Puhan, N. B. |
Abstract | The affine-projection-like (APL) algorithm is reported to achieve lower computations than affine-projection algorithm (APA) without compromising the steady-state performance. Further, the performance accuracy of the adaptive feedback canceller (AFC) in hearing aids is enhanced using an improved proportionate APL (IPAPL) algorithm. Two new learning algorithms are proposed for AFC, which apply the memory of previous gain factors and μ-law proportionate technique to the IPAPL, termed as memorised IPAPL (MIPAPL) and μ-law MIPAPL (MMIPAPL), respectively. In addition, a segmented approach is also suggested which offers computational advantage over MMIPAPL. The results obtained from simulation-based experiments demonstrate that the proposed methods achieve faster convergence rate than the existing methods. |
Starting Page | 1200 |
Ending Page | 1202 |
Page Count | 3 |
ISSN | 00135194 |
Volume Number | 52 |
e-ISSN | 1350911X |
Issue Number | Issue 14, Jul (2016) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/el/52/14 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/el.2016.0483 |
Journal | Electronics Letters |
Publisher Date | 2016-06-14 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Adaptive Feedback Canceller AFC Affine-projection-like Algorithm Auditory Prostheses And Hearing Aids Biology And Medical Computing Digital Signal Processing Feedback Feedback Compensation Filtering Method in Signal Processing Filtering Theory Gain Factors Hearing Aids Improved Proportionate APL IPAPL Knowledge Engineering Technique Learning Algorithm Learning in AI Medical Signal Processing Memorised IPAPL MIPAPL MMIPAPL Orthotics Prosthetics Prosthetics And Other Practical Application Μ-law MIPAPL |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering |
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