Literatura académica sobre el tema "Ommunication Systems"
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Artículos de revistas sobre el tema "Ommunication Systems"
Austine, Amel y R. Suji Pramila. "Hybrid Optimization Algorithm for Resource Allocation in LTE-Based D2D燙ommunication". Computer Systems Science and Engineering 46, n.º 2 (2023): 2263–76. http://dx.doi.org/10.32604/csse.2023.032323.
Texto completo"Systems and techniques of administrative ommunication under the auspices of youth at Fayoum University". Assiut Journal of Sport Science and Arts 316, n.º 3 (1 de julio de 2016): 32–56. http://dx.doi.org/10.21608/ajssa.2016.70714.
Texto completoAl‐Turjman, Fadi. "COVID ‐19 special issue: Intelligent solutions for computer c ommunication‐assisted infectious disease diagnosis". Expert Systems 39, n.º 3 (24 de febrero de 2022). http://dx.doi.org/10.1111/exsy.12946.
Texto completoGoksoy, A. Alper, Guihong Li, Sumit K. Mandal, Umit Y. Ogras y Radu Marculescu. "CANNON: Communication-Aware Sparse Neural Network Optimization". IEEE Transactions on Emerging Topics in Computing, 2023, 1–13. http://dx.doi.org/10.1109/tetc.2023.3289778.
Texto completoTesis sobre el tema "Ommunication Systems"
Dowse, Andrew Information Technology & Electrical Engineering Australian Defence Force Academy UNSW. "The diverse organisation : operational considerations for managing organisational information resources". Awarded by:University of New South Wales - Australian Defence Force Academy. School of Information Technology and Electrical Engineering, 2007. http://handle.unsw.edu.au/1959.4/38677.
Texto completoAndré, Etienne. "An inverse method for the synthesis of timing parameters in concurrent systems". Phd thesis, École normale supérieure de Cachan - ENS Cachan, 2010. http://tel.archives-ouvertes.fr/tel-00595268.
Texto completoLi, Wen-Ren y 李文仁. "Channel Coding of Chaotic ommunication System via Adaptive Algorithm". Thesis, 2006. http://ndltd.ncl.edu.tw/handle/39725917425928741831.
Texto completo國立雲林科技大學
電機工程系碩士班
94
DCSK is a non-coherent modulation and demodulation technique which is designed by using the chaotic signal as the carrier. Due to the characteristic of multi-frequency of chaotic communication, a good performance of multi-path-fading is expected for wireless communication. In order to obtain the good performance of chaotic communication system in time-invariant channel and time-variant channel, the thesis is to presented an adaptive channel equalizer and a technique of channel coding to overcome channel effect and noise especially AWGN. In this thesis, we not only apply the numerical simulation to demonstrate proposed results but also transmit a some digital images and voices in different communication systems to verify performance is satisfying in different environments.