References
- Baron, D., Wakin, M. B., Duarte, M. F., Sarvotham, S., & Baraniuk, R. G. (2005). Distributed compressed sensing. Retrieved from http://dsp.rice.edu/sites/dsp. rice.edu/files/publications/report/2006/distributed-ece-2006.pdf
- Candès, E. J. (2006). Compressive sampling. In M. Sanz-Solé, J. Soria, J. L. Varona, & J. Verdera (Eds.), Proceedings of the international congress of mathematicians (pp.1433–1452). Madrid: European Mathematical Society (EMS), invited lectures.
- Dai, W., & Milenkovic, O. (2008). Subspace pursuit for compressive sensing: Closing the gap between performance and complexity (Report No. ADA528357). Urbana: Illinois University at Urbana-Chamapaign.
- Donoho, D. L. (2006). Compressed sensing. IEEE Transactions on Information Theory, 52, 1289–1306. doi:10.1109/TIT.2006.871582
- Liu, B., Yan, Z., & Chen, C. W. (2013). MAC protocol in wireless body area networks for E-health: Challenges and a context-aware design. IEEE Wireless Communications, 20, 64–72. doi:10.1109/MWC.2013.6590052
- Lo, B., & Yang, G. Z. (2007). Body sensor networks-research challenges and opportunities. In Proceedings of the 2007 IET Seminar, Institute of Physics (pp. 26–32). London: IEEE.
- Shi, G. M., Liu, D. H., Gao, D. H., Liu, Z., Lin, J., & Wang, L. J. (2009). Compression perception theory and its research progress. Acta Electronica Sinica, 37, 1070–1081. Retrieved from http://www.ejournal.org.cn/CN/abstract/abstract1365.shtml
- Tobon, D. P., Falk, T. H., & Maier, M. (2013). Context awareness in WBANs: A survey on medical and non-medical applications. IEEE Wireless Communications, 20, 30–37. doi:10.1109/MWC.2013.6590048