Acoustic Noise Cancellation using LMS Algorithm on DSP Processor |
Author(s): |
| Premsing J. Pardeshi , Smt. Kashibai Navale College of Engineering, Vadgaon(Bk), Pune; Abhishek M. Patil, Smt. Kashibai Navale College of Engineering, Vadgaon(Bk), Pune; Mayur B. Nadgire, Smt. Kashibai Navale College of Engineering, Vadgaon(Bk), Pune; Swati S. Savkare, Smt. Kashibai Navale College of Engineering, Vadgaon(Bk), Pune |
Keywords: |
| Least Mean Square Algorithm, DSP kit (TMS320C6748), MATLAB, ANC (Adaptive Noise Cancellation) |
Abstract |
|
Filtering data in real time requires dedicated hardware to satisfy demanding time requirements. Here we introduce the adaptive technique applied to acoustic noise cancellation i.e. the LMS (Least Mean Square) algorithm. The LMS algorithm is used to subtract noise from an input audio signal. The LMS adaptive filter uses the noisy signal at the input port and the desired signal (noise free) on the output port to automatically match the filter response. We get noise and original signal separately. Noise signal is error signal which is given as a feedback to adaptive filter to improve its performance. A simulation of the LMS algorithm is done on MATLAB. Further algorithm is implemented on DSP processor TMS320C6748. The proposed methodology is useful to cancel noise from audio signal. The result will be noise free audio signal in the DSP board output. |
Other Details |
|
Paper ID: IJSRDV7I120483 Published in: Volume : 7, Issue : 12 Publication Date: 01/03/2020 Page(s): 818-821 |
Article Preview |
|
|
|
|
