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	1. Pedestrian Detection Using Real Adaboost and Decision Tree
	Jia Hui-Xing,Zhang Yu-Jin
	Electrics, Communication and Autocontrol Technology 31 December 2008
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	Abstract:This paper presents a new pedestrian detection method using a monochrome video camera for driving assistance system. The algorithm is based on the cascade classifier structure first proposed by Viola for face detection. Several extensions have been proposed to make the detection framework more competent for pedestrian detection. First, two new haar like features using two separated rectangles are proposed to enrich the feature pool. Second, the decision tree is used as weak hypothesis of Real Adaboost to capture the dependencies between these features and a new splitting criterion for the tree is used to minimize the error bound of Real Adaboost directly. Third, a tree cascade classifier structure is adopted to deal with intra-class difference of pedestrian. Finally, a kalman filter is used to combine single frame detections together. Pooling together all the strategies, a new pedestrian detection system has been developed which can detect pedestrians as small as 14×28 pixels at 15f/s for a 320×240 image on a P4 3.0GHz computer.
	TO cite this article:Jia Hui-Xing,Zhang Yu-Jin. Pedestrian Detection Using Real Adaboost and Decision Tree[OL].[31 December 2008] http://en.paper.edu.cn/en_releasepaper/content/27184


	2. Blind Beamforming for Noncircular Signals via Output Impropriety-Degree Maximization
	Xu Yougen,Liu Zhiwen
	Electrics, Communication and Autocontrol Technology 30 December 2008
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	Abstract:A noncircularity exploiting adaptive beamforming scheme is presented for blind recovery of a narrow-band signal with nonzero impropriety-degree (ID). By maximizing the ID of the output signal, this new second-order blind beamformer can directly extract the signal of interest from circular interferences and noise (not necessarily Gaussian) without training signal and array calibration.
	TO cite this article:Xu Yougen,Liu Zhiwen. Blind Beamforming for Noncircular Signals via Output Impropriety-Degree Maximization[OL].[30 December 2008] http://en.paper.edu.cn/en_releasepaper/content/27077

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	3. Low Complexity Method for Spreading Sequence Estimation of DSSS signal in Non-Cooperative Communication Systems
	cang liang,wang fuping,Wang Zanji
	Electrics, Communication and Autocontrol Technology 18 December 2008
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	Abstract:It is a necessary step to estimate the spreading sequence of direct sequence spread spectrum (DSSS) signal for blind despreading and demodulation in non-cooperative communications. The article proposes two innovative and effective detection statistics to implement the synchronization and spreading sequence estimation procedure. The proposed algorithm also has a low computational complexity with only linear additions and modifications. Theoretical analysis and simulation results show that the algorithm performs quite well in low SNR environment, and is much better than all the existing typical algorithms with a comprehensive consideration both in performance and computational complexity.
	TO cite this article:cang liang,wang fuping,Wang Zanji. Low Complexity Method for Spreading Sequence Estimation of DSSS signal in Non-Cooperative Communication Systems[OL].[18 December 2008] http://en.paper.edu.cn/en_releasepaper/content/26731


	4. Pedestrian Detection by Boosting Neural Networks
	Jia Hui-Xing,Zhang Yu-Jin
	Electrics, Communication and Autocontrol Technology 17 December 2008
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	Abstract:In this paper, a fast pedestrian detection system by boosting neural network classifiers is built. The object to be detected is represented by a collection of blocks. For each block, the histogram of orientated gradients feature is extracted and a neural network classifier is built as weak hypothesis. Then these hypotheses are selected sequentially by Gentle Adaboost, and the cascade structure is used to speedup the detector. Compared to global linear SVM classifiers, the new method gets better performance on the INRIA pedestrian detection database at a much faster speed.
	TO cite this article:Jia Hui-Xing,Zhang Yu-Jin. Pedestrian Detection by Boosting Neural Networks[OL].[17 December 2008] http://en.paper.edu.cn/en_releasepaper/content/26680


	5. Blind Beamforming for Noncircular Signals
	Xu Yougen,Liu Zhiwen
	Electrics, Communication and Autocontrol Technology 05 November 2008
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	Abstract:Blind beamforming for extracting noncircular signals without a prior knowledge on the desired steering vector is considered in this paper. Three second-order statistic based blind schemes, termed as subspace decomposition, self-reference, and extraction power maximization methods, respectively, are proposed to extract one desired noncircular signal from a number of statistically independent circular interferences in the presence of circular Gaussian noise with arbitrary and unknown correlation structure. Two joint second- and fourth-order cumulant based methods are also developed for the case of multiple noncircular interferences. One is ESPRIT (estimation of signal parameters via rotational invariance techniques) type method. The other represents a real-valued extension of the WL-MVDR (widely linear minimum variance distortionless response). Numerical examples are shown to illustrate the performance of the proposed methods. The latest version of this online-only showing has also been submitted to IET Signal Processing.
	TO cite this article:Xu Yougen,Liu Zhiwen . Blind Beamforming for Noncircular Signals[OL].[ 5 November 2008] http://en.paper.edu.cn/en_releasepaper/content/25453


	6. Mixed-Order Blind Beamforming for Rectilinear Signals
	Xu Yougen,Liu Zhiwen
	Electrics, Communication and Autocontrol Technology 04 November 2008
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	Abstract:Blind beamforming for noncircular signals with distinct noncircularity-rates (NCRs) can be achieved via Takagi factorization based on the second-order statistics (SOS) only. However, the requirement on NCR diversity can not be satisfied by rectilinear signals (such as AM and BPSK signals), which can be frequently encountered in many practical applications. A mixed-order Takagi factorization method is herein proposed to handle coexisted rectilin-ear signals, wherein the fourth-order cumulant (FOC) is used to adjust virtually the NCRs of the signals, while the SOS is utilized for blind identification only. Some numerical examples are included to illustrate the performance of the proposed method. The latest version of this online-only showing has also been submitted to IEEE Antennas, & Wireless Propagation Letters.
	TO cite this article:Xu Yougen,Liu Zhiwen. Mixed-Order Blind Beamforming for Rectilinear Signals[OL].[ 4 November 2008] http://en.paper.edu.cn/en_releasepaper/content/25400


	7. An ns2-based dynamic system-level simulation platform for WiMAX with scheduling and resource allocation
	Cui Limei
	Electrics, Communication and Autocontrol Technology 08 October 2008
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	Abstract:The network simulation 2 (ns2) is widely used in both academia and industry for the simulation of pacekt-switched networks. As WiMAX system is gradually commercial, system-level simulation is taken more and more attentions. This paper provides an ns2-based platform for WiMAX system-level simulation with scheduling and resource allocation. In this paper, we have analyzed the existing modules and present our detailed improvements based on ns2. A scheme for QoS and effective utilization of the system resource is also implemented in this platform. According to the simulation results, the performance of the proposed scheme is more effective for QoS.
	TO cite this article:Cui Limei. An ns2-based dynamic system-level simulation platform for WiMAX with scheduling and resource allocation[OL].[ 8 October 2008] http://en.paper.edu.cn/en_releasepaper/content/24611


	8. Super-resolution algorithm based on local gradient
	Jinyu Chu,Ju Liu,Jianping Qiao,Xiaoling Wang
	Electrics, Communication and Autocontrol Technology 19 June 2008
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	Abstract:This paper presents a super-resolution method based on gradient-based adaptive interpolation. In this method, in addition to considering the distance between the interpolated pixel and the neighboring valid pixel, the interpolation coefficients take the local gradient of the original image into account. The smaller the local gradient of a pixel is, the more influence it should have on the interpolated pixel. And wiener filter is finally applied to reduce the blurring and noise of the interpolated high resolution image. Experimental results show that our proposed method not only substantially improves the subjective and objective quality of restored images, especially enhances edges, but also is robust to the registration error and has low computational complexity.
	TO cite this article:Jinyu Chu,Ju Liu,Jianping Qiao, et al. Super-resolution algorithm based on local gradient[OL].[19 June 2008] http://en.paper.edu.cn/en_releasepaper/content/22375


	9. Extraction of Medical Image EdgeBased on HMT Model and B-Spine Wavelet
	Zhaowei Gu,Wangbo,Gongjian Shen,Annawang
	Electrics, Communication and Autocontrol Technology 17 June 2008
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	Abstract:A new medical image edge extraction algorithm is proposed to extract the significant edge of the medical image in order to avoid the interference of the internal noise and the external noise. The information Measure combined with Simulated Annealing algorithm is used to remove the internal noise; then wavelet domain HMT model is used to denoise; at last we design quadratic B-spline wavelet to extract the edge feature information. The quadratic B-spline smoothing filter performing multi-scale filtering is designed using the characteristics of wavelet transform. The obtained multi-scale wavelet transform is combined to extract image edge at different scales. The experiment results of computer simulation show that the proposed edge extraction algorithm provides the best compromise between noise rejection and accurate edge localization.
	TO cite this article:Zhaowei Gu,Wangbo,Gongjian Shen, et al. Extraction of Medical Image EdgeBased on HMT Model and B-Spine Wavelet[OL].[17 June 2008] http://en.paper.edu.cn/en_releasepaper/content/22304


	10. A novel block-matching algorithm for motion estimation
	Ma Jidong ,Gu Zhaowei ,Qu Fuming ,Shen Gongjian ,Wang Anna
	Electrics, Communication and Autocontrol Technology 06 June 2008
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	Abstract:In order to reduce the computational complexity of the fast motion estimation and improve the performance of motion compensation, a block-matching algorithm of mixing diamond search and adaptive rood pattern search has been proposed. Combining the advantages of fixed search pattern and spatial correlation search pattern, the algorithm employs the high search accuracy of DS and the high search speed of ARPS. It performs zero motion prejudging for immobile macroblocks between the two adjacent frames to reduce the computational complexity, and employs the spatial correlation of motion vectors to improve the quality of predicted motion vectors. Compared to ARPS, experimental results show that the computational complexity could be reduced at least 60% while guaranteeing the search accuracy.
	TO cite this article:Ma Jidong ,Gu Zhaowei ,Qu Fuming , et al. A novel block-matching algorithm for motion estimation[OL].[ 6 June 2008] http://en.paper.edu.cn/en_releasepaper/content/22042

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