@inproceedings{867b5091a600450ab2064417c49828dc,
title = "Lightweighted FPGA Implementation of Even-Odd-Buffered Active Noise Canceller with On-Chip Convolution Acceleration Units",
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.",
keywords = "Adaptive algorithm, Even-Odd-buffer, FFT, Noise cancelling",
author = "Seunghyun Park and Daejin Park",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International Conference on Electronics, Information, and Communication, ICEIC 2023 ; Conference date: 05-02-2023 Through 08-02-2023",
year = "2023",
doi = "10.1109/ICEIC57457.2023.10049949",
language = "English",
series = "2023 International Conference on Electronics, Information, and Communication, ICEIC 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 International Conference on Electronics, Information, and Communication, ICEIC 2023",
address = "United States",
}