Boashash, B., Apr 1992. Estimating and interpreting the instantaneous fre- quency of a signal. Part 1: Fundamentals. Proceedings of the IEEE 80 (4), 520-538. https://doi.org/10.1109/5.135376
Bueno-Lopez, M., Giraldo, E., Molinas, M., December 2017a. Analysis of neu- ral activity from EEG data based on EMD frequency bands. In: 24th IEEE International Conference on Electronics, Circuits and Systems (ICECS). Vol. 1. IEEE, Batumi, Georgia, pp. 401-405. https://doi.org/10.1109/ICECS.2017.8292116
Bueno-Lopez, M., Molinas, M., Kulia, G., September 2017b. Understanding instantaneous frequency detection: A discussion of Hilbert-Huang Trans- form versus Wavelet Transform. In: International Work-Conference on Time Series Analysis-ITISE. Vol. 1. University of Granada, Granada, Spain, pp. 474-486.
[+]
Boashash, B., Apr 1992. Estimating and interpreting the instantaneous fre- quency of a signal. Part 1: Fundamentals. Proceedings of the IEEE 80 (4), 520-538. https://doi.org/10.1109/5.135376
Bueno-Lopez, M., Giraldo, E., Molinas, M., December 2017a. Analysis of neu- ral activity from EEG data based on EMD frequency bands. In: 24th IEEE International Conference on Electronics, Circuits and Systems (ICECS). Vol. 1. IEEE, Batumi, Georgia, pp. 401-405. https://doi.org/10.1109/ICECS.2017.8292116
Bueno-Lopez, M., Molinas, M., Kulia, G., September 2017b. Understanding instantaneous frequency detection: A discussion of Hilbert-Huang Trans- form versus Wavelet Transform. In: International Work-Conference on Time Series Analysis-ITISE. Vol. 1. University of Granada, Granada, Spain, pp. 474-486.
Dowel, J. M. (Ed.), 2014. The Cubesat Explosion. Harvard, http://planet4589.org/talks/cubesats/cube3.pdf.
E. Hari Krishna, M. Raghuram, K. V. M. K. S., Reddy, K. A., May 2012. Emd based ofdm channel estimation. IEEE International Instrumentation and Measurement Technology Conference Proceedings. https://doi.org/10.1109/I2MTC.2012.6229395
Gasca Segura, M., Bueno-Lopez, M., Molinas, M., Fosso, O. B., April 2018. Time-frequency analysis for nonlinear and non-stationary signals using hht: A mode mixing separation technique. IEEE Latin America Transactions 16 (4), 1091-1098. https://doi.org/10.1109/TLA.2018.8362142
Hao Chen, J.-h. G., Liu, T., December 2013. Fm signal parameter estimation using the hilbert huang transform. 6th International Congress on Image and Signal Processing (CISP). https://doi.org/10.1109/CISP.2013.6743863
Hou, T. Y., Shi, Z., Sept 2013. Data-driven time-frequency analysis. Applied and Computational Harmonic Analysis 35 (2), 284-308. https://doi.org/10.1016/j.acha.2012.10.001
Huang, N. E., Shen, S. S. P. (Eds.), 2014. Hilbert-Huang Transform and its Ap- plications. Vol. 16. Interdisciplinary Mathematical Sciences. https://doi.org/10.1142/5862
Huang, N. E., Shen, Z., Long, S. R., Wu, M. C., Shih, H. H., Zheng, Q., Yen, N.-C., Tung, C. C., Liu, H. H., 1998. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analy- sis. Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences 454 (1971), 903-995. https://doi.org/10.1098/rspa.1998.0193
Huang Yuchun, Huang Zailu, H. B., Shuhua, X., September 2007. Integrated fft- based interpolation frequency estimator and its application to feature extrac- tion of fm signal. International Conference on Wireless Communications, Networking and Mobile Computing. https://doi.org/10.1109/WICOM.2007.305
Mandic, D. P., Rehman, N. U., Wu, Z., Huang, N. E., Nov 2013. Empirical mode decomposition-based time-frequency analysis of multivariate signals: The power of adaptive data analysis. IEEE Signal Processing Magazine 30 (6), 74-86.
https://doi.org/10.1109/MSP.2013.2267931
N.Padmaja, D. a., R.Swathi, September 2011. Signal processing of radar echoes using wavelets and hilbert huang transform. Signal & Image Processing : An International Journal (SIPIJ) 2 (3). https://doi.org/10.5121/sipij.2011.2310
Radiometrix, 2010a. Manual: 500mw rf power amplifier module. urlhttp://www.radiometrix.com/content/afs2-0.
Radiometrix, 2010b. Manual:uhf narrow band fm multi channel transceiver. urlhttps://www.radiometrix.com/node/187.
Stone, T. (Ed.), 2004. Technical Report NAS-04-009: Introduc- tion to Satellite Communications Technology for NREN. NASA, https://www.nas.nasa.gov/assets/pdf/techreports/2004/nas-04-009.pdf.
Wang, X., Wang, Y., October 2013. A single-channel bss new method of time- frequency overlapped communication signal based on multi-scale cwt and ica. International Conference on Computational Problem-Solving (ICCP). https://doi.org/10.1109/ICCPS.2013.6893582
Wu, Z., Huang, N. E. (Eds.), August 2009. Ensemble Empirical Mode Decom- position: A Noise Assisted Data Analysis Method. Vol. 1. World Scientific Publishing Company. https://doi.org/10.1142/S1793536909000047
Xu, D., Xia, Y., Mandic, D. P., Feb 2016. Optimization in quaternion dynamic systems: Gradient, hessian, and learning algorithms. IEEE Transactions on Neural Networks and Learning Systems 27 (2), 249-261. https://doi.org/10.1109/TNNLS.2015.2440473
Yingjun Yuan, Zhitao Huang, H. W., Wang, X., 2013. Specific emitter iden- tification based on hilbert-huang transform-based time-frequency-energy distribution features. IET Communications 8 (13), 2404-2412. https://doi.org/10.1049/iet-com.2013.0865
Yu, W., Qian, X., November 2010. Some factors which affect the satellite com- munication. In: 2nd International Workshop on Database Technology and Applications. IEEE, Wuhan, China. https://doi.org/10.1109/DBTA.2010.5659067
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