Performance Evaluation of Low Cost Analog Feedback Active Noise Cancellation System
Soo Joon Yee1, Pang Wai Leong2, Chan Kah Yoong3

1Soo Joon Yee, Faculty of Engineering Multimedia University, Cyberjaya, Malaysia.
2Pang Wai Leong, Faculty of Engineering Multimedia University, Cyberjaya, Malaysia.
3Chan Kah Yoong, Faculty of Engineering Multimedia University, Cyberjaya, Malaysia.
Manuscript received on 26 September 2019 | Revised Manuscript received on 05 October 2019 | Manuscript Published on 22 October 2019 | PP: 142-145 | Volume-8 Issue-3S October 2019 | Retrieval Number: C10251083S19/2019©BEIESP | DOI: 10.35940/ijrte.C1025.1083S19
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: Acoustic noise can be reduced by active noise cancellation (ANC) and passive noise cancellation (PNC) algorithm. The PNC can effectively attenuate the noise with high frequency, but not the noise with low frequency. ANC is one of the promising solution to reduce the low frequency noise. Commercial ANC headphones often use the digital signal processor (DSP) to perform the noise cancellation algorithm to cancel the annoying acoustic noise, but the cost is relatively high. A low-cost ANC solution is urgently needed to reduce the acoustic noise. The relationship between the frequency, distance and degree of magnitude of the noise level are also evaluated in this paper.
Keywords: Active Noise Cancellation, Analog Feedback.
Scope of the Article: Measurement & Performance Analysis