Simulation of LMS algorithm for active noice cancellation / Ahmad Khairul Hafiz Abdullah
Active noise control is used to reduce noise. An active noise control is designed to minimize this noise signal. An active noise control is used adaptive filter to reduce noise. Adaptive filter is a digital filter combine with adaptive algorithm. For this project, the LMS (least mean square) is used...
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| Format: | Thesis |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/98607/1/98607.pdf https://ir.uitm.edu.my/id/eprint/98607/ |
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| Summary: | Active noise control is used to reduce noise. An active noise control is designed to minimize this noise signal. An active noise control is used adaptive filter to reduce noise. Adaptive filter is a digital filter combine with adaptive algorithm. For this project, the LMS (least mean square) is used to adjust the coefficient of the digital filter in order to, minimize the difference between the desired output d(k) and its filter output y(k) . MATLAB simulation will be used to simulate the adaptive filter to provide silent noise waveform. Then, Xilinx ISE will be used to design the adaptive filter by using Verilog programming. The external sources are the mp3 music data as external source. |
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