REAL TIME ADAPTIVE FILTER IMPLEMENTATION FOR SYSTEM IDENTIFICATION AND NOISE ELIMINATION
Volume 9 Issue 2 2015
Download| Author(s): | Ali Akbar Siddiqui, S Hassan Ahmed, Habib Shaukat, M. Shafiq, Dr. M. Tahir Qadri |
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| Abstract | Filters are the most important instrument that play a vital role in signal processing application such as audio equalizers, image processing etc. So in our proposed algorithm, we have utilized an adaptive filter for system identification and noise elimination. Identification of the system is necessary for the filter implementation; this is accomplished using Least Men Square (LMS). Noise is a feature that varies continuously if the device is used remotely, so we require an adaptation technique to cater any kind of noise that can affect our system and negate the effects of that noise for providing a better signal quality. Mean Squared Error is reduced at a certain interval of time as it adapts to the original signal. Our proposed algorithm performed according to the desired expectations and can be implemented in numerous audio applications. |
| Keywords | Adaptive Filter, Least Mean Algorithm (LMS), IIR Chebyshev Filter. |
| Year | 2015 |
| Volume | 9 |
| Issue | 2 |
| Type | Research paper, manuscript, article |
| Journal Name | Journal of Information & Communication Technology | Publisher Name | ILMA University | Jel Classification | - | DOI | - | ISSN no (E, Electronic) | 2075-7239 | ISSN no (P, Print) | 2415-0169 | Country | Pakistan | City | Karachi | Institution Type | University | Journal Type | Open Access | Manuscript Processing | Blind Peer Reviewed | Format | Paper Link | https://jict.ilmauniversity.edu.pk/journal/jict/9.2/3.pdf | Page | 42-54 |