Lightweighted FPGA Implementation of Even-Odd-Buffered Active Noise Canceller with On-Chip Convolution Acceleration Units

Seunghyun Park, Daejin Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

To make the acoustic signal that was processed by the noise canceller sound more natural for users [1]-[3], the delay in anti-noise generation should be reduced. For a single buffer, processing delay occurrs because it is impossible to write input signals while the processor is processing the data. when interfering with anti-noise and output signal, this processing delay creates additional buffering overhead to match the phase. The processing delay can be minimized using an Even-/Odd-buffer Structure to alternately read and write operations. In addition, the differences between the two methods of noise cancellation (FFT-based noise cancellation and adaptive algorithm) are compared in terms of output signal quality, processing time, and power consumption. As a result, using an Even-/Odd-buffer, reduced the processing delay of a single buffer. The FFT-based noise canceling method experienced fewer errors than the adaptive noise canceling method.

Original languageEnglish
Title of host publication2023 International Conference on Electronics, Information, and Communication, ICEIC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350320213
DOIs
StatePublished - 2023
Event2023 International Conference on Electronics, Information, and Communication, ICEIC 2023 - Singapore, Singapore
Duration: 5 Feb 20238 Feb 2023

Publication series

Name2023 International Conference on Electronics, Information, and Communication, ICEIC 2023

Conference

Conference2023 International Conference on Electronics, Information, and Communication, ICEIC 2023
Country/TerritorySingapore
CitySingapore
Period5/02/238/02/23

Keywords

  • Adaptive algorithm
  • Even-Odd-buffer
  • FFT
  • Noise cancelling

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