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Copyright of Journal of Ordnance Equipment Engineering is the property of Chongqing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Application Research of Computers / Jisuanji Yingyong Yanjiu is the property of Application Research of Computers Edition and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Wool Textile Journal is the property of National Wool Textile Science & Technology Information Center and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To prevent the internal / external eavesdroppers obtaining information in multicast communication system, this paper presents a random interference algorithm applied on the physical layer. The algorithm utilizes the algebra space consisted of the wireless channel states between transmiting antenna and receiving antenna to cancel the received signal of internal eavesdropper but add random interference to the received signal of external eavesdropper so that the multicast scure transmission is realized. The theoretical analysis and simulation prove that, with this algorithm, the internal / external eavesdropper can not acquire information because of very high bit error rate of signal. [ABSTRACT FROM AUTHOR]

For the defects in estimating pulse repetition interval(PRI) of traditional pulse repetition interval de-interleaving algorithms, this paper puts forward a new method of estimating the period of PRI periodic signals. The method firstly extracts the pulse sample sequence of a certain radar from the raw pulse sequence, then executes precise period estimation process based on the sample sequence, finally, proceeds the accurate de-interleaving process using the period value previously estimated. Compared with the traditional de-interleaving methods, this algorithm considerably shortens the time needed in the de-interleaving process and guarantees the precision of the period estimation at the same time, which satisfies the requirement of the de-interleaving process. Simulation results verify the validity of the proposed method. [ABSTRACT FROM AUTHOR]

In order to solve the ill-posed problem of super-resolution reconstruction and achieve good visual effect, this paper proposes a novel video super-resolution reconstruction algorithm. In this algorithm, spatial-temporal regularization operator is introduced in the reconstruction process, and the precision of solving is improved by spatial smoothing information and prior information between video frames. In addition, a method of adaptively computing spatial-temporal regularization factor is proposed in this algorithm, and it is based on L-curve and can adaptively compute an appropriate regularization factor. Experimental results of simulated video sequence and real video sequence prove that the proposed super-resolution reconstruction algorithm can obtain precise solving and high-resolution visual result simultaneously. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Signal Processing is the property of Journal of Signal Processing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Signal Processing is the property of Journal of Signal Processing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The imaging efficiency of the synthetic aperture radar installed in near space slow platform is low. In this paper an imaging mode based on the azimuth multi-beam switching is proposed. The basic idea is to divide the azimuth swath into multiple azimuth sub-swaths. The required pulse repeated frequency is increased accordingly. In the azimuth sampling positions, the azimuth sub-swaths are illuminated periodically. In contrast to the traditional stripmap mode, the proposed mode can improve the imaging efficiency effectively. When the number of the multi-beam is large enough, the imaging efficiency of the slow platform can be higher than that of the fast platform. The high resolution wide swath imaging, meanwhile, can be achieved. The formulas for calculating the key parameters of the system as well as the signal processing steps are provided. The simulation results verify the validity of the proposed imaging mode and signal processing steps. [ABSTRACT FROM AUTHOR]

In this paper, based on the difference between the maximum eigenvalue and the minimum eigenvalue (DMM) cooperative spectrum sensing algorithm, a new threshold decision rule is proposed via analyzing the limiting distribution of the minimum eigenvalue of the covariance matrix of the received signals from multiple cognitive users (CUs) by means of random matrix theory (RMT). The proposed scheme could effectively overcome the noise uncertainty and need neither the prior knowledge of the signal transmitted from primary user(PU), nor the noise power in advance. Simulation results show that the proposed algorithm has lower decision threshold for a target false alarm probability, and it can get better sensing performance compared with the previous sensing schemes with low SNR and small sampling. [ABSTRACT FROM AUTHOR]

In order to solve the problem of optimal aHocation of non-paper resource in chemical laboratories, a mathematical model is set up. We abstract the problem to find an optimal solution in a six-dimensional space. A constraint rule and an optimization rule are presnted, cost distance and equilibration value are given, wait time is defined based on open queuing network too. A fitness function is defined, optimal aHocation algorithm based on particle swarm algorithm is established. Simulation experiment on this algorithm shows that it is fast and efficient. [ABSTRACT FROM AUTHOR]

This paper proposed a lightweight and high security key management based on ECC and ElGamal. In the scheme, the key pool was structured by the Hamilton algorithm, in which a layer network model was given, each lay had a servicer and control center, and session key was generated by ElGamal key agreement. The performance and simulation analysis shows, this scheme is superior to the traditional key pre-distribution schemes, not only computation cost and communication cost could be decreased, but good network connectivity is suitable for wireless sensor networks. [ABSTRACT FROM AUTHOR]