A hardware platform using broadband antenna,oscilloscope,and spectrum analyzer is designed to receive radio frequency(RF)signals from electromagnetic radiation leakage of computers in the office environment.The proces...A hardware platform using broadband antenna,oscilloscope,and spectrum analyzer is designed to receive radio frequency(RF)signals from electromagnetic radiation leakage of computers in the office environment.The process of receiving and the processing techniques have also been given.Then,the software radio-based computing models and software algorithms are proposed to demodulate and decode the RF signals.An experimental result shows that the text information can be recovered from electromagnetic(EM)leakage wave of computer by this interception system.This architecture not only reduces the cost of the system’s hardware but also makes interception more flexible.The innovation points of this paper are recovering the video information in EM leakage wave of computers in an ordinary office environment based on public equipments and proposing the process of receiving processing techniques that only use the software radiobased computing models and software algorithms.展开更多
The growing number of mobile users, as well as the diversification in types of services have resulted in increasing demands for wireless network bandwidth in recent years. Although evolving transmission techniques are...The growing number of mobile users, as well as the diversification in types of services have resulted in increasing demands for wireless network bandwidth in recent years. Although evolving transmission techniques are able to enlarge the network capacity to some degree, they still cannot satisfy the requirements of mobile users. Meanwhile, following Moore's Law, the data processing capabilities of mobile user terminals are continuously improving. In this paper, we explore possible methods of trading strong computational power at wireless terminals for transmission efficiency of communications. Taking the specific scenario of wireless video conversation, we propose a model-based video coding scheme by learning the structures in multimedia contents. Benefiting from both strong computing capability and pre-learned model priors, only low-dimensional parameters need to be transmitted; and the intact multimedia contents can also be reconstructed at the receivers in real-time. Experiment results indicate that, compared to conventional video codecs, the proposed scheme significantly reduces the data rate with the aid of computational capability at wireless terminals.展开更多
基金This work was supported by the National Natural Science Foundation of China(Grant Nos.60871081,60671055,and 60771060)the Specialized Research Fund for the Doctoral Program of Higher Education of China(Nos.20070013002 and 20070013004).
文摘A hardware platform using broadband antenna,oscilloscope,and spectrum analyzer is designed to receive radio frequency(RF)signals from electromagnetic radiation leakage of computers in the office environment.The process of receiving and the processing techniques have also been given.Then,the software radio-based computing models and software algorithms are proposed to demodulate and decode the RF signals.An experimental result shows that the text information can be recovered from electromagnetic(EM)leakage wave of computer by this interception system.This architecture not only reduces the cost of the system’s hardware but also makes interception more flexible.The innovation points of this paper are recovering the video information in EM leakage wave of computers in an ordinary office environment based on public equipments and proposing the process of receiving processing techniques that only use the software radiobased computing models and software algorithms.
基金supported by the National Basic Research Project of China (973) (2013CB329006)National Natural Science Foundation of China (NSFC, 61101071,61471220, 61021001)Tsinghua University Initiative Scientific Research Program
文摘The growing number of mobile users, as well as the diversification in types of services have resulted in increasing demands for wireless network bandwidth in recent years. Although evolving transmission techniques are able to enlarge the network capacity to some degree, they still cannot satisfy the requirements of mobile users. Meanwhile, following Moore's Law, the data processing capabilities of mobile user terminals are continuously improving. In this paper, we explore possible methods of trading strong computational power at wireless terminals for transmission efficiency of communications. Taking the specific scenario of wireless video conversation, we propose a model-based video coding scheme by learning the structures in multimedia contents. Benefiting from both strong computing capability and pre-learned model priors, only low-dimensional parameters need to be transmitted; and the intact multimedia contents can also be reconstructed at the receivers in real-time. Experiment results indicate that, compared to conventional video codecs, the proposed scheme significantly reduces the data rate with the aid of computational capability at wireless terminals.
