Sparse Signal Acquisition via Compressed Sensing and Principal Component Analysis
Author:
Affiliation:
1. Technical University of Košice, Faculty of Electrical Engineering and Informatics, Department of Electronics and Multimedia Telecommunications, Letna, Košice , Slovakia
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Instrumentation,Biomedical Engineering,Control and Systems Engineering
Reference33 articles.
1. [1] Donoho, D.L. (2006). Compressed sensing. IEEE Transactions on Information Theory, 52 (4), 1289-1306.
2. [2] Andráš, I., Dolinský, P., Michaeli, L., Šaliga, J. (2018). A time domain reconstruction method of randomly sampled frequency sparse signal. Measurement, 127, 68-77.
3. [3] Wu, L., Yu, K., Hu, Y., Wang, Z. (2014). CS-based framework for sparse signal transmission over lossy link. In IEEE International Conference on Mobile Ad Hoc and Sensor Systems, Philadelphia, USA. IEEE, 680-685.
4. [4] Liu, H., Xiao, D., Zhang, R., Zhang., Y., Bai, S. (2016). Robust and hierarchical watermarking of encrypted images based on Compressive Sensing. Signal Processing: Image Communication, 46, 41-51.
5. [5] Xiao, X., He, Q., Fu, Z., Xu, M., Zhang, X. (2016). Applying CS and WSN methods for improving efficiency of frozen and chilled aquatic products monitoring system in cold chain logistics. Food Control, 60, 656-666.
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