By Zongyong Cui, Zongjie Cao, Jianyu Yang, Jian Cheng, Yulin Huang, Liyuan Xu (auth.), Qilian Liang, Wei Wang, Jiasong Mu, Jing Liang, Baoju Zhang, Yiming Pi, Chenglin Zhao (eds.)
ISBN-10: 1461458021
ISBN-13: 9781461458029
ISBN-10: 146145803X
ISBN-13: 9781461458036
Communications, sign Processing, and platforms is a suite of contributions popping out of the overseas convention on Communications, sign Processing, and structures (CSPS) held August 2012. This ebook presents the state-of-art advancements of Communications, sign Processing, and structures, and their interactions in multidisciplinary fields, akin to audio and acoustic sign processing. The booklet additionally examines Radar structures, Chaos structures, visible sign Processing and Communications and VLSI structures and purposes. Written by means of specialists and scholars within the fields of Communications, sign Processing, and Systems.
Read or Download Communications, Signal Processing, and Systems: The 2012 Proceedings of the International Conference on Communications, Signal Processing, and Systems PDF
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Extra resources for Communications, Signal Processing, and Systems: The 2012 Proceedings of the International Conference on Communications, Signal Processing, and Systems
Example text
He and B. 1 Fig. 1 (continued) References 1. Goj WW (1993) Synthetic aperture radar and electronic warfare. Artech House, Boston 2. Dumper K, Cooper PS et al (1997) Spaceborne synthetic aperture Radar and noise jamming. In: IEEE Radar’97 conference, Edinburgh, pp 411–414 3. Cumming G, Wong FH (2005) Digital signal processing of synthetic aperture radar data: algorithms & implementation. Artech House, Norwood 4. Bo LV, Qi F, Naichang Y (2009) A study on frequency-shifting blanket jamming to LFM pulse-compression radar.
Binary trivial opening, GT , operates on a given connected component 16 L. Xue et al. X according to an increasing criterionT. 7) In general, the features which are used in the filter operators are compared to a given threshold defined by the rule. The increasing criteria are used to compare with the regions such as the area, the volume, the size of the bounding box, etc. It can be proved that the attribute values computed on a region is greater or equal to the values computed on the enclosed regions.
IEEE Trans Geosci Remote Sens 43 (3):480–491 7. Soille P, Pesaresi M (2002) Advances in mathematical morphology applied to geoscience and remote sensing. IEEE Trans Geosci Remote Sens 40(9):2042–2055 8. Dalla Mura M, Benediktsson JA, Waske B, Bruzzone L (2009) Morphological atribute filters for the analysis of very high resolution images. In: Proceedings of IEEE IGARSS, vol. III. Cape Town, 12–19 Jul 2009, pp 97–100 9. Dalla Mura M, Benediktsson JA, Waske B, Bruzzone L (2010) Morphological attribute profiles for the analysis of very high resolution images.
Communications, Signal Processing, and Systems: The 2012 Proceedings of the International Conference on Communications, Signal Processing, and Systems by Zongyong Cui, Zongjie Cao, Jianyu Yang, Jian Cheng, Yulin Huang, Liyuan Xu (auth.), Qilian Liang, Wei Wang, Jiasong Mu, Jing Liang, Baoju Zhang, Yiming Pi, Chenglin Zhao (eds.)
by Edward
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