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	Divisible difference sets, relative difference sets and sequences with ideal autocorrelation 期刊论文 OAI收割 INFORMATION SCIENCES, 2013, 卷号: 249, 页码: 143-147 Yan, Tongjiang; Xiao, Guozhen \| 收藏 \| 浏览/下载：10/0 \| 提交时间：2014/12/16 Sequences Divisible difference sets Relative difference sets Ideal autocorrelation sequences
	new nearly optimal codebooks from relative difference sets 期刊论文 OAI收割 ADVANCES IN MATHEMATICS OF COMMUNICATIONS, 2011, 卷号: 5, 期号: 3, 页码: 521-527 Zhou Zhengchun; Tang Xiaohu \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2013/10/08 Codebooks signal sets Welch bound difference sets almost difference sets relative difference sets
	A trace representation of binary jacobi sequences 期刊论文 iSwitch采集 Discrete mathematics, 2009, 卷号: 309, 期号: 6, 页码: 1517-1527 作者: Dai, Zongduo; Gong, Guang; Song, Hong-Yeop 收藏 \| 浏览/下载：25/0 \| 提交时间：2019/05/10 Cyclic difference sets Twin-prime cyclic difference sets Trace representations (discrete) fourier spectral sequence Defining pairs Binary sequences with two-level autocorrelation Binary hadamard sequences
	Self-adaptive threshold canny operator in color image edge detection (EI CONFERENCE) 会议论文 OAI收割 2009 2nd International Congress on Image and Signal Processing, CISP'09, October 17, 2009 - October 19, 2009, Tianjin, China Luo T.; Zheng X.-F.; Ding T.-F. 收藏 \| 浏览/下载：17/0 \| 提交时间：2013/03/25 It needs to set the two thresholds of classical Canny Operator manually which confined this algorithm. A lot of research on adaptive thresholds choice method has been done to conquer this shortcoming. Based on the gradient histogram which is studied constantly in the past a method of gradient histogram difference diagram with adaptive image classification techniques is proposed in this paper. It automatically sets the two thresholds and avoids disconnected or false edges in detection. Experiments prove that the method is threshold-adaptive and the edge detection performs well in color image whose larger gradient amplitude pixels are mainly located in the edges between the target and background. 2009 IEEE.
	Some results on skew hadamard difference sets 期刊论文 iSwitch采集 Designs codes and cryptography, 2009, 卷号: 50, 期号: 1, 页码: 93-105 作者: Weng, Guobiao; Hu, Lei 收藏 \| 浏览/下载：25/0 \| 提交时间：2019/05/10 Skew hadamard difference sets Hadamard difference sets Partial difference sets
	Constructions for anonymous secret sharing schemes using combinatorial designs 期刊论文 OAI收割 ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES, 2007, 卷号: 23, 期号: 1, 页码: 67-78 作者: Deng, Ying-pu; Gu, Li-feng; Liu, Mu-lan \| 收藏 \| 浏览/下载：22/0 \| 提交时间：2018/07/30 anonymous secret sharing schemes Steiner systems group divisible designs difference families relative difference sets
	Intelligent MRTD testing for thermal imaging system using ANN (EI CONFERENCE) 会议论文 OAI收割 ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China Sun J.; Ma D. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly we use frame grabber to capture the 4-bar target image data. Then according to image gray scale we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets along with known target visibility are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.
	non-uniformity and generalised sacks splitting 期刊论文 OAI收割 ACTA MATHEMATICA SINICA-ENGLISH SERIES, 2002, 卷号: 18, 期号: 2, 页码: 327-334 Cooper SB; Li AS \| 收藏 \| 浏览/下载：10/0 \| 提交时间：2011/07/29 computably enumerable (c.e.) difference of computably enumerable sets (d.c.e. or 2-c.e.) Turing degrees splitting and nonsplitting