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	1. Hash-chain Compressive Sensing for Secure and Efficient Transmission in Wireless Sensor Networks
	Liu Liwei,Peng Haipeng,Li Lixiang,Yang Yixian
	Electrics, Communication and Autocontrol Technology 11 January 2019
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (0 B)

	Abstract:With the rapid development of the applications of wireless sensor networks (WSNs) in various fields, such as internet of things, military collaborative operations, e-government, telemedicine, etc., the security, the energy-efficiency and the storage-saving are undoubtedly highlighted in the research of WSNs. Compressive sensing (CS) can compress and reconstruct sparse or compressible signals with fewer samples than those of Nyquist-Shannon theorem requires. In order to meet the requirements of storage, energy-efficiency and security of WSNs simultaneously, we propose an efficient and secure transmission model based on compressive sensing and hash-chain theory, which is called hash-chain compressive sensing (HCCS). Compared with the traditional compressive sensing, only the initial key and the hash function are used in the sensor node to decrease the storage space. And the characteristics of hash-chain assure the security of data transmission under HCCS. Furthermore, we propose an image encryption method based on HCCS in order to improve the efficiency and security of image transmission. The security of image signal is greatly improved by adopting the double-encryption mechanism, which uses the measurement matrix $\Phi _1$ and the encryption matrix $\Phi _2$. The numerical experiments are performed to show the feasibility of HCCS and the effectiveness of the proposed image transmission model.
	TO cite this article:Liu Liwei,Peng Haipeng,Li Lixiang, et al. Hash-chain Compressive Sensing for Secure and Efficient Transmission in Wireless Sensor Networks[OL].[11 January 2019] http://en.paper.edu.cn/en_releasepaper/content/4747004


	2. Efficient Method for Localization of Mixed Far-Field and Near-Field Signals
	ZUO Weiliang,XIN Jingmin
	Electrics, Communication and Autocontrol Technology 29 June 2017
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	Abstract:In this paper, we deal with the problem of localizing mixed far-field (FF)and near-field (NF) sources impinging on a uniform linear arraywith the symmetrical geometric configuration.An efficient method for localization of the mixed FF and NF sources is proposed,where the direction-of-arrivals (DOAs) of the mixed sources are estimated separately by using the oblique projection,and then the ranges of the NF sources are obtained through a polynomial rooting,while the computationally burdensome eigendecomposition and pair-matching are avoided.The effectiveness of the proposed method is verified through numerical examples,and the simulation results show that the proposed method has better estimation performancethan some existing methods.
	TO cite this article:ZUO Weiliang,XIN Jingmin. Efficient Method for Localization of Mixed Far-Field and Near-Field Signals[OL].[29 June 2017] http://en.paper.edu.cn/en_releasepaper/content/4738008


	3. A Robust Median Filtering Detector Based On Filter Residual
	Anjie Peng,Xiangui Kang
	Electrics, Communication and Autocontrol Technology 18 July 2014
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	Abstract:In this paper, we introduce a median filtering detector,which is robust against JPEG compression.Recently, the median filter has became a popular anti-forensic tool, and draws much attention in forensics. The detection of median filtering from a JPEG compressed image is a diffcult problem, because typical filter characteristics are suppressed by JPEG quantization and block artifacts. We introduce a novel forensic trace - median filter residual, which is the difference between initial image and its median filtered output. The residual effectively eliminates the interference from image edge and texture, which is regarded as a major limitation of the existing forensic methods. Experimental results show that the proposed method is very robust to JPEG post-compression, and achieves much better performance than the existing state-of-the-art works.
	TO cite this article:Anjie Peng,Xiangui Kang. A Robust Median Filtering Detector Based On Filter Residual[OL].[18 July 2014] http://en.paper.edu.cn/en_releasepaper/content/4603849


	4. Detection of resampling in digital images based on correlation coefficients
	CAO Hongjian,ZHAO Yao,NI Rongrong
	Electrics, Communication and Autocontrol Technology 01 June 2012
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	Abstract:In digital image forensic, resampling detection is a very useful tool because of the common use of resampling in digital image processing. In this paper a new resampling detection algorithm is proposed which explores the periodicity among the rows or columns of the images. The core of the proposed algorithm is the use of correlation coefficients based on the observation that the correlation coefficients of the adjacent rows or columns is periodic in resampled images. In some images, the image contents also show periodicity, which will interfere the detection of resampling. Some measures are taken to reduce that interference. As experiments show, the proposed algorithm is more robust than prior algorithm and shows better results, especially when detecting images which have been through nearest interpolation or resized by ratio 2.0.
	TO cite this article:CAO Hongjian,ZHAO Yao,NI Rongrong. Detection of resampling in digital images based on correlation coefficients[OL].[ 1 June 2012] http://en.paper.edu.cn/en_releasepaper/content/4480397


	5. Research of Error Processing Technical on Fiber Optic Gyros in Inertial Navigation System
	Pin Lv,Jian-ye Liu,Ling Zhang,Ji-zhou Lai
	Electrics, Communication and Autocontrol Technology 21 January 2011
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	Abstract:As a newly angular rate sensor, Fiber Optic Gyro (FOG) is widely applied in inertial navigation system (INS), and technical of error cancelling is of great importance. According to its application and characteristics in INS, error signals of FOG are classified, and such methods as wavelet threshold filtering and rotating modulation are studied to reduce errors like constant error, long-time drift, noise and so on. The basic principles of these two methods are analysed and practical engineering problems are discussed. Experiment is done, and the results indicate that combination of wavelet filtering and rotation modulation can inhibit the specific error effectively, and the technologies are of wide application.
	TO cite this article:Pin Lv,Jian-ye Liu,Ling Zhang, et al. Research of Error Processing Technical on Fiber Optic Gyros in Inertial Navigation System[OL].[21 January 2011] http://en.paper.edu.cn/en_releasepaper/content/4408157


	6. Signal Matching Wavelet for Ultrasonic Flaw Detection in High Background Noise
	Shi Guangming,Chen Xuyang,Song Xiaoxia,Qi Fei,Ding Ailing
	Electrics, Communication and Autocontrol Technology 25 May 2010
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	Abstract:It is very important to detect the flaw echoes for ultrasonic nondestructive evaluation in high background noise. The existing methods based on wavelet transform (WT) mainly use a wavelet basis to match a signal. As is well known, there are dozens of wavelet modes in all, whereas the signal may appear in various forms in practical application. Then the optimal match between the wavelet basis and the signal is difficult to be generated due to the constraints of wavelet. In this paper we propose a method of signal matching wavelet (SMW) for ultrasonic flaw detection in high background noise. In SMW the transmitted signal is designed to be a wavelet mode for matching a wavelet basis. Since our method gets rid of the constraints of wavelet, the optimal match between the echo signal and a wavelet basis is easy to be achieved. And we analyze the energy distribution of ultrasonic signal and propose the energy matching criteria to design the transmitted signal, which guarantees the optimal match. Furthermore, we put forward a scheme for choosing system parameters and the parameter of transmitted signal to enhance the matching capacity. In addition, a low-rate equivalent discrete WT (DWT) structure based on polyphase decomposition is designed to reduce the hardware cost and farther facilitate practical application. Finally the simulative results show that SMW can efficiently detect the flaw under high background noise even for the SNR low to -20 dB, which cannot be obtained by using other methods to our best knowledge.
	TO cite this article:Shi Guangming,Chen Xuyang,Song Xiaoxia, et al. Signal Matching Wavelet for Ultrasonic Flaw Detection in High Background Noise[OL].[25 May 2010] http://en.paper.edu.cn/en_releasepaper/content/4373752

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