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Conference Paper

Spatial-temporal Correlation based Signals Gathering in WASNs

Authors: Guo, Xinwei; Meng, Ruijie; Zheng, Chengshi; Li, Xiaodong

AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020) · Paper 10469 · August 2020

Abstract

For each node comprising many channels in the wireless acoustic sensor networks (WASNs), the signals from different channels both have the spatial-temporal correlation property. The two-dimensional discrete cosine transform (2D-DCT) is introduced to decorrelate and compute the sparse representation of the signals. Then, only the first K largest 2D-DCT coefficients and the binary sequences consisting of 0 and 1 to indicate the indices of these coefficients are transmitted. The proposed method reduces the number of channels transmitted per node and yet the raw signals can still be recovered accurately at the fusion center. The proposed method is independent of the specific beamformer compared to other distributed algorithms to reduce the communication overhead, and the experimental results demonstrate its validity.

Details

Published in
AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020)
Paper number
10469
Publication date
August 6, 2020
Session subject
Acoustic Measurement
Affiliation
Chinese Academy of Sciences, Beijing, China (See document for exact affiliation information.)
Type
Conference Paper