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	1. Target Parameters Estimation of Frequency Diverse Array based on Preprocessing l1-SVD Algorithm
	Liao Yanping,Pan Yue
	Electrics, Communication and Autocontrol Technology 04 March 2020
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	Abstract:Due to too much data, the efficiency of l1 norm-Singular Value Decomposition (l1-SVD) algorithm becomes poor, this paper proposes a Preprocessing l1-SVD algorithm. This method is based on the frequency diversity array of L-type array. Firstly, the search space of the target position is preprocessed to reduce the search space by the inner product of the received data and the perception matrix. Then, l1-SVD algorithm is used to estimate the search space after proposed preprocessing. The simulation results show that the algorithm has better efficiency in the face of large amount of data, and the estimation accuracy is also improved compared with that without processing.
	TO cite this article:Liao Yanping,Pan Yue. Target Parameters Estimation of Frequency Diverse Array based on Preprocessing l1-SVD Algorithm[OL].[ 4 March 2020] http://en.paper.edu.cn/en_releasepaper/content/4751024


	2. A supervised learning framework for pancreatic islet segmentation with multi-scale color-texture features and rolling guidance filters
	HUANG Yue
	Electrics, Communication and Autocontrol Technology 10 May 2016
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	Abstract:Region of interest segmentation from large histopathology images is an actively researched area given the multitude of applications in pathological research and clinical practice. Here we propose a system to detect regions (objects) of interest in histopathology images using a supervised learning pipeline. Instead of typical k-means in well-used simple linear iterative clustering (SLIC) method, initial superpixel detection is improved by weighted k-means strategy for a better performance at adhering to the object boundary. In each superpixel, multiscale color-texture features are extracted and processed using rolling guidance filters in an effort to reduce inter-class ambiguity and intra-class variation simultaneously. Finally, after feature extraction, a support vector machine (SVM) is trained and applied to segment the testing images. We apply this method to detect pancreatic islets, and in comparison to other approaches, it shows both a dramatic improvement and accuracy compared to existing methods. We envision the system could be used for a variety of other purposes (e.g. tumor detection) in histopathology image analysis.
	TO cite this article:HUANG Yue. A supervised learning framework for pancreatic islet segmentation with multi-scale color-texture features and rolling guidance filters[OL].[10 May 2016] http://en.paper.edu.cn/en_releasepaper/content/4687168

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	3. Pre-training convolutional neural networks
	HUANG Yue
	Electrics, Communication and Autocontrol Technology 12 March 2015
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	Abstract:Convolutional neural networks (ConvNets) is multi-stages trainable architecture that can learn invariant features in recognition. Applications of ConvNets in 'Big Data' are always limited to some challenges: 1) the labeled data is scarce and the labeled data is abundant; 2) tedious training procedure is required frequently with updated training samples. In this work, an efficient principle component analysis(PCA) based pre-training strategy has been introduced to reduce the high computational cost of kernel training in ConvNets, and to make the system be more robust to insufficient labeled training data. Two datasets MNIST and VLOGO are employed to validate the proposed work. The classification experiments results have demonstrated that the proposed pre-training ConvNets is able to accelerate the training procedure and reduce the requirement of sufficient labeled training samples.
	TO cite this article:HUANG Yue. Pre-training convolutional neural networks[OL].[12 March 2015] http://en.paper.edu.cn/en_releasepaper/content/4634372


	4. Automatic Shot Boundary Detection on Short Internet Test Suit
	Huang Yi,Zhang Honggang,Guo Jie
	Electrics, Communication and Autocontrol Technology 18 September 2014
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	Abstract:Shot boundary detection is the first step of content based video analysis. Various algorithms have been proposed to detect video shot boundaries and claimed to perform well. Some of them are good at identify abrupt shot boundaries and are easy to implement. Some are focus on the more difficult gradual shot boundaries detecting and are much more complicated. This paper employs multiple features to detect shot boundaries. First we apply histogram difference to remove the frames that are clearly not shot boundaries. For cut transition, we add flashlight detection module to remove the false detection. We take advantage of some typical features of dissolve and fade to check the candidate gradual transition section. The aim of our method is to provide a simple and fast algorithm with reasonable high performance for short internet videos. The experimental result shows that the average precision of our proposed method can reach up to 91.1%.
	TO cite this article:Huang Yi,Zhang Honggang,Guo Jie. Automatic Shot Boundary Detection on Short Internet Test Suit[OL].[18 September 2014] http://en.paper.edu.cn/en_releasepaper/content/4610144


	5. Anti-Forensics of Video Frame Deletion
	Jingxian Liu,Xiangui Kang
	Electrics, Communication and Autocontrol Technology 22 July 2014
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	Abstract: Due to the case that digtial videos can be easily altered, many video forensic techinques have been recently proposed to verify the authenticity of digital videos. Meanwhile, several anti-forensic techniques are develpoed to make the manipulations undetectable. In this paper, we analyze a typical anti-forensic technique of video frame deletion and then propose a countering anti-forensic method to detect it. Furthermore, we design an improved anti-forensic technique against the forensic investigator. The experimental results demonstrate that we can effectively detect the use of the existing anti-forensic technique, and the improved anti-forensic technique is proven to make the frame deletion undetectable.
	TO cite this article:Jingxian Liu,Xiangui Kang. Anti-Forensics of Video Frame Deletion[OL].[22 July 2014] http://en.paper.edu.cn/en_releasepaper/content/4604313


	6. A Subpixel Precision Image Matching-Aided Navigation Method
	Leng Xuefei,Wang Bihui,Wu Songsen,Mao Xingyun
	Electrics, Communication and Autocontrol Technology 06 May 2014
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	Abstract:Image matching-aided navigation system has broad application prospects, according to its prominent advantages in autonomy and high precision. In order to meet the demands of real time and accuracy of image aided navigation system, the paper propose a subpixel precision image matching algorithm by using a method called the four-dimension real matrix. At first this paper converts the transformation of aircraft's position and attitude to transformation of two images. Then an optimal transform matrix which is called a four-dimension real matrix can be obtained by the least square algorithm to fit the two images. At last, the deviations of aircraft's position and attitude are derived according to the proposed model. Experiments have been conducted and the results show that the time consumption is within a second, translation deviations are within a pixel, and angle deviations are within a degree, which illustrates the good performance of the algorithm and the model. As a conclusion, the algorithm satisfies the requirements of real-time situation and accuracy of the image matching-aided navigation system.
	TO cite this article:Leng Xuefei,Wang Bihui,Wu Songsen, et al. A Subpixel Precision Image Matching-Aided Navigation Method[OL].[ 6 May 2014] http://en.paper.edu.cn/en_releasepaper/content/4593897


	7. A Programmable Approach to Evaluate Ramanujan Sums
	GuoXujing,Zhou Lina,Shang Jiadong,Wang Zulin
	Electrics, Communication and Autocontrol Technology 14 January 2013
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	Abstract:Ramanujan sums, which have been widely researched in mathematics, recently began to attract more attentions in signal processing and communications. The traditional methods to get the values of Ramanujan sums follow the definition and formulas in number theory, both of which need factorization information. As it is complex and the amount of time needed is unpredictable in hardware programming, a programmable approach base on the primitive roots of unity is proposed in this paper. Only simple arithmetic computing and cosine function is involved. Considering that each value of Ramanujan sums is an integer, the number of sample points required is no more than the period of Ramanujan sums, and quantification bits required are no more than 16 bits, as the simulation results demonstrated.
	TO cite this article:GuoXujing,Zhou Lina,Shang Jiadong, et al. A Programmable Approach to Evaluate Ramanujan Sums[OL].[14 January 2013] http://en.paper.edu.cn/en_releasepaper/content/4511097


	8. The Research on Errors-Modulated and Modeling Technique in RFSINS
	Lai Jizhou,Liu Jianye,Sun Yongrong,Zhang Ling
	Electrics, Communication and Autocontrol Technology 21 January 2011
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	Abstract:FSINS (Fiber Strapdown Inertial Navigation System) based on fiber optic gyros, is used more and more widely nowadays. The navigation precsion of FSINS is mainly determained by the performance of its inertial measurment unit (IMU, including three fiber optic gyros and three accelerometers).Different from the traditional FSINS, this paper proposed a new conformation named RFSINS( Rotary FSINS ) to improve the navigation precsion of SINS, by adding a rotating disk, on which two mid-precision FOGs were placed orthogonally, while the third high-precision FOG ,which is sensing orientation angular rate, isn't fixed on the disk. The purpose of the proposed scheme of RFSINS is to increase the presiton of inertial navagation system clearly as well as lower it's cost, in the way of modulating and depressing the errors of IMU through the rotating disk. The error-modulated theory of RFSINS was analysed, and the structure of RFSINS was proposed. And also, a method of compensating the FOG's output errors which caused by the temperature in RFSINS was propsed in this paper. At last, the result of simulation and experimentation indicated that the propsed scheme can improve the positioning precision of strapdown inertial navigation system apparently. Besides, in line with the development of FSINS, the proposed scheme with the characters of low-cost and high-precision,will have great value in its engeering application.
	TO cite this article:Lai Jizhou,Liu Jianye,Sun Yongrong, et al. The Research on Errors-Modulated and Modeling Technique in RFSINS[OL].[21 January 2011] http://en.paper.edu.cn/en_releasepaper/content/4408148


	9. Sub-pixel Stereo Matching based on Half-phase DCT Interpolation
	Zhang Zhuoyun,Hou Chunping,Shen Lili
	Electrics, Communication and Autocontrol Technology 08 September 2010
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	Abstract:A novel stereo matching algorithm is proposed based on the sub-pixel matching scheme. Because much information of the scene is lost in the sampling grid, the disparity maps obtained by sub-pixel matching have more precise structures than those by integer-pixel matching. Sub-pixel values are essential to the performance. In order to compute the sub-pixel values as close as possible to the actual ones, we propose the half phase DCT (HPDCT) interpolation algorithm. It improves upon the DCT-based algorithm based on the characteristics of the disparity map. We also compare the HPDCT algorithm with the linear interpolation and nearest-neighbor interpolation algorithms. Both the subjective evaluation and objective index demonstrate the advantages of the proposed algorithm over integer-pixel matching and sub-pixel matching with the other two interpolation algorithms.
	TO cite this article:Zhang Zhuoyun,Hou Chunping,Shen Lili. Sub-pixel Stereo Matching based on Half-phase DCT Interpolation[OL].[ 8 September 2010] http://en.paper.edu.cn/en_releasepaper/content/4384955


	10. Implementation of iLBC Codec Algorithm on DSP
	Huang Sai
	Electrics, Communication and Autocontrol Technology 21 January 2009
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	Abstract:This thesis is to investigate the ILBC codec algorithm and expects to implement ILBC codec on a fixed-point digital signal processor.Due to the limited resource of the DSP chip. The implementation was in two steps, first make the floating point to fixed-point conversion in C with optimization. Then translate the C to DSP assembly codes. In the process, three level of optimization was made, the algrithrom level, the Fixed Pointed C level, and the assembly language level. Each Level had made great contribution to improve the performance of the fixed point implementation of the codec. Finally, the optimized assembly codes are successfully used in AR1688 based VOIP devices, satisfying the real-time needs.
	TO cite this article:Huang Sai. Implementation of iLBC Codec Algorithm on DSP[OL].[21 January 2009] http://en.paper.edu.cn/en_releasepaper/content/28165

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