Simulation for noise cancellation using LMS adaptive filter
| Autor: | Lu-Ean Ooi, Choe-Yung Teoh, Ying-Hao Ko, Jia-Haw Lee |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Noise (signal processing)
Computer science Matched filter 020206 networking & telecommunications Salt-and-pepper noise 02 engineering and technology 01 natural sciences Noise floor Adaptive filter Filter design Computer Science::Sound 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Kernel adaptive filter Electronic engineering Multidelay block frequency domain adaptive filter Hardware_ARITHMETICANDLOGICSTRUCTURES 010301 acoustics |
| Zdroj: | IOP Conference Series: Materials Science and Engineering. 211:012003 |
| ISSN: | 1757-899X 1757-8981 |
| DOI: | 10.1088/1757-899x/211/1/012003 |
| Popis: | In this paper, the fundamental algorithm of noise cancellation, Least Mean Square (LMS) algorithm is studied and enhanced with adaptive filter. The simulation of the noise cancellation using LMS adaptive filter algorithm is developed. The noise corrupted speech signal and the engine noise signal are used as inputs for LMS adaptive filter algorithm. The filtered signal is compared to the original noise-free speech signal in order to highlight the level of attenuation of the noise signal. The result shows that the noise signal is successfully canceled by the developed adaptive filter. The difference of the noise-free speech signal and filtered signal are calculated and the outcome implies that the filtered signal is approaching the noise-free speech signal upon the adaptive filtering. The frequency range of the successfully canceled noise by the LMS adaptive filter algorithm is determined by performing Fast Fourier Transform (FFT) on the signals. The LMS adaptive filter algorithm shows significant noise cancellation at lower frequency range. |
| Databáze: | OpenAIRE |
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