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| 1 | 基于混频器的非线性矢量网络分析仪双端口校准方法显示文摘基于混频器的非线性网络分析仪(NVNA)是一种新型的非线性网络测量平台。介绍了该平台的结构、原理、误差模型和经典校准流程。结合NVNA的时不变测量特性,提出了2种新的双端口校准方案——Absent Thru和Blind Thru,并给出了具体的校准流程。在新研制的NVNA原型样机上的实验表明,新方案与经典Unknown Thru方法的校准结果相一致。新方案丰富了双端口NVNA校准手段,为NVNA的误差模型合理性以及校准结果准确性提供了有效的检验手段。 | 林茂六 张亦弛 张喆 徐清华 | 2010 | 仪器仪表学报2010，31，10： | 21 |
| 2 | Blind recognition of k/n rate convolutional encoders from noisy observation显示文摘Blind recognition of convolutional codes is not only essential for cognitive radio, but also for non-cooperative context.This paper is dedicated to the blind identification of rate k/n convolutional encoders in a noisy context based on Walsh-Hadamard transformation and block matrix(WHT-BM). The proposed algorithm constructs a system of noisy linear equations and utilizes all its coefficients to recover parity check matrix. It is able to make use of fault-tolerant feature of WHT, thus providing more accurate results and achieving better error performance in high raw bit error rate(BER) regions. Moreover, it is more computationally efficient with the use of the block matrix(BM) method. | Li Huang Wengu Chen Enhong Chen Hong Chen | 2017 | Journal of Systems Engineering and Electronics2017，28，2： | 13 |
| 3 | Gearbox fault diagnosis of rolling mills using multiwavelet sliding window neighboring coefficient denoising and optimal blind deconvolution显示文摘Fault diagnosis of rolling mills, especially the main drive gearbox, is of great importance to the high quality products and long-term safe operation. However, the useful fault information is usually submerged in heavy background noise under the severe condition. Thereby, a novel method based on multiwavelet sliding window neighboring coefficient denoising and optimal blind deconvolution is proposed for gearbox fault diagnosis in rolling mills. The emerging multiwavelets can seize the important signal processing properties simultaneously. Owing to the multiple scaling and wavelet basis functions, they have the supreme possibility of matching various features. Due to the periodicity of gearbox signals, sliding window is recommended to conduct local threshold denoising, so as to avoid the 'overkill' of conventional universal thresholding techniques. Meanwhile, neighboring coefficient denoising, considering the correlation of the coefficients, is introduced to effectively process the noisy signals in every sliding window. Thus, multiwavelet sliding window neighboring coefficient denoising not only can perform excellent fault extraction, but also accords with the essence of gearbox fault features. On the other hand, optimal blind deconvolution is carried out to highlight the denoised features for operators' easy identification. The filter length is vital for the effective and meaningful results. Hence, the foremost filter length selection based on the kurtosis is discussed in order to full benefits of this technique. The new method is applied to two gearbox fault diagnostic cases of hot strip finishing mills, compared with multiwavelet and scalar wavelet methods with/without optimal blind deconvolution. The results show that it could enhance the ability of fault detection for the main drive gearboxes. | YUAN Jing HE ZhengJia ZI YanYang LIU Han | 2009 | Science China(Technological Sciences)2009，52，10： | 7 |
| 4 | Vehicle Ego-Localization Based on Streetscape Image Database Under Blind Area of Global Positioning System显示文摘Vehicle positioning is critical for inter-vehicle communication, navigation, vehicle monitoring and tracking. They are regarded as the core technology ensuring safety in everyday-driving. This paper proposes an enhanced vehicle ego-localization method based on streetscape image database. It is most useful in the global positioning system(GPS) blind area. Firstly, a database is built by collecting streetscape images, extracting dominant color feature and detecting speeded up robust feature(SURF) points. Secondly, an image that the vehicle shoots at one point is analyzed to find a matching image in the database by dynamic programming(DP)matching. According to the image similarity, several images with higher probabilities are selected to realize coarse positioning. Finally, different weights are set to the coordinates of the shooting location with the maximum similarity and its 8 neighborhoods according to the number of matching points, and then interpolating calculation is applied to complete accurate positioning. Experimental results show that the accuracy of this study is less than 1.5 m and its running time is about 3.6 s. These are basically in line with the practical need. The described system has an advantage of low cost, high reliability and strong resistance to signal interference, so it has a better practical value as compared with visual odometry(VO) and radio frequency identification(RFID) based approach for vehicle positioning in the case of GPS not working. | 周经美 赵祥模 程鑫 徐志刚 赵怀鑫 | 2019 | Journal of Shanghai Jiaotong university(Science)2019，24，1： | 7 |
| 5 | RLS and LMS blind adaptive multi-user detection method and comparison in acoustic communication显示文摘RLS and LMS blind adaptive multi-user detection algorithm and multi-user detector was proposed to solve the problem of multi-user signal detection problem encountered in underwater acoustic communication networks.In simulation analysis,RLS and the LMS blind adaptive multi-user detector were designed and tested for synchronous and asynchronous multi-user communication process.The results of SIR comparison and MMSE comparison show that,both of the two methods can realize blind adaptive detection when any user change in multi-user communication,during this process,the training communication sequences are not needed.The RLS algorithm has about 5 dB higher in SIR compared with LMS algorithm,and the convergence velocity of RLS algorithm is also higher than LMS algorithm when the communication users change.RLS algorithm has better ability in multi-user detection than that of LMS algorithm,and it has great attraction and guiding significance for solving the problem of multiple access interference(MAI) in multi-user communication. | WANG Zhongqiu WANG Hongru MENG Qingming | 2015 | Instrumentation2015，2，2： | 7 |
| 6 | Application of particle swarm optimization blind source separation technology in fault diagnosis of gearbox显示文摘Blind source separation (BBS) technology was applied to vibration signal processing of gearbox for separating different fault vibration sources and enhancing fault information. An improved BSS algorithm based on particle swarm optimization (PSO) was proposed. It can change the traditional fault-enhancing thought based on de-noising. And it can also solve the practical difficult problem of fault location and low fault diagnosis rate in early stage. It was applied to the vibration signal of gearbox under three working states. The result proves that the BSS greatly enhances fault information and supplies technological method for diagnosis of weak fault. | 黄晋英 潘宏侠 毕世华 杨喜旺 | 2008 | Journal of Central South University2008，15，S2： | 5 |
| 7 | TDOA estimation of dual-satellites interference localization based on blind separation显示文摘The time difference of arrival(TDOA)estimation plays a crucial role in the accurate localization of the satellite interference source.In the dual-satellites interference source localization system,the target signal from the adjacent satellite is likely to be interfered by the normal communication signal with the same frequency.Therefore,the signal to noise ratio(SNR)of the target signal would become too low,and the TDOA estimation through cross-correlation processing would be unreliable or even unattainable.This paper proposes a technique based on blind separation to solve the co-channel interference problem,where separation of the mixed signal can be carried out by the particle filter(PF)algorithm.The experimental results show that the proposed method could achieve more accurate TDOA estimation.The measured data obtained by using the software radio platform at 915 MHz and 2 GHz respectively verify the effectiveness of the proposed method. | SU Ting GAO Yong | 2019 | Journal of Systems Engineering and Electronics2019，30，4： | 5 |
| 8 | Multistage decomposition algorithm for blind source separation显示文摘A new algorithm for blind source separation is proposed, which only extracts the single independent component at each stage. The single independent component is acquired by an iterative algorithm for searching for the optimal solution of the defined cost function. Moreover, all the independent components are obtained by systematic multistage decomposition and multistage reconstruction. When there is spatially colored noise, the performance of this algorithm is advantageous over jointly approximated diagonalization of eigen-matrices (JADE). Simulated results show that if the number of source signals is more than 25, its computational complexity is lower than that of JADE. | FENG Dazheng, BAO Zheng and ZHANG Xianda(Key Laboratory for Radar Signal Processing, Xidian University, Xi’an 710071, China) | 2002 | Progress in Natural Science:Materials International2002，12，5： | 5 |
| 9 | Wideband Beamforming for Multipath Signals Based on Frequency Invariant Transformation显示文摘It is well known that the performance of conventional adaptive beamformers degrades severely due to the presence of coherent or correlated interferences(multipath propagation) and various techniques have been developed to improve the performance of the beamformer.However,most of the work in the past has been focused on the narrowband case.In this paper,the wideband beamforming problem in the presence of multipath signals is addressed,with a novel approach proposed by employing a pre-processing stage based on the frequency invariant beamforming(FIB) technique.In this approach,the received wideband array signals are first processed by an FIB network,and then a traditional narrowband adaptive beamformer or an appropriate instantaneous blind source separation(BSS) algorithm can be applied to the network outputs.It is shown that with the proposed structure,cancellation of the desired signal is reduced,leading to a significantly improved output signal to interference plus noise ratio(SINR). | Wei Liu Communications Research Group,Department of Electronic & Electrical Engineering,University of Sheffield,Sheffield,S1 3JD,UK | 2012 | International Journal of Automation and computing2012，9，4： | 5 |
| 10 | Oral captopril versus placebo among 14962 patients with suspected acute myocardial infarction: a multicenter,randomized,double-blind,placebo controlled clinical trial显示文摘Oralcaptoprilversusplaceboamong14962patientswithsuspectedacutemyocardialinfarction:amulticenter,randomized,double┐blind,place... | Chinese Cardiac Study (CCS 1) Collaborative Group | 1997 | Chinese Medical Journal1997，，11： | 5 |
| 11 | Research on dynamic characteristics of multi-sensor system in the case of cross-sensitivity显示文摘In this study, the dynamic characteristic of a multi-sensor system made up of such sensors as are sensitive to several parameters is discussed, and the effect of cross-sensitivity on the precision of a measurement system is also discussed. A multi-sensor system is looked as a serial of a linear filter and a memoryless nonlinear system, i.e. Wiener system, and the subsequent information fusion system is regarded as a Hammerstein system, i.e. a serial of a memoryless nonlinear system and a linear filter. On the basis of static calibration, it is presented to determine the inverse filter in a Hammerstein system using blind deconvolution. In order to control the uncertainty of amplitude of signals recovered by blind deconvolution well, a regulation approach to regulating the inverse linear filter coefficient matrixes is presented according to the identity between inverse filter coefficient matrixes and static calibrating matrix. So the approximate inverse dynamic model of multi-sensor system is obtained, the degree of distortion of dynamic measurement result is reduced, the measurement precision is improved, and the need of practice can be reached. Simulation example and simulation result show that the recovered error of the inputs of sensor system, the frequency of which is 1/10 of sampling frequency, is 1/20 of the measurement results without dynamic compensation, and is one half of the measurement results with sole dynamic compensation, and the rapidity is improved 2 times. The dynamic compensation results of a metal oxide semiconductor methane sensor show that the dynamic measurement error is less than one half of that without dynamic compensation. So this method expands the bandwidth of multi-sensor system. | TANG Xiaojun LIU Junhua | 2005 | Science China(Technological Sciences)2005，48，1： | 4 |
| 12 | Modulation Recognition in Maritime Multipath Channels:A Blind Equalization-Aided Deep Learning Approach显示文摘Modulation recognition has been long investigated in the literature,however,the performance could be severely degraded in multipath fading channels especially for high-order Quadrature Amplitude Modulation(QAM)signals.This could be a critical problem in the broadband maritime wireless communications,where various propagation paths with large differences in the time of arrival are very likely to exist.Specifically,multiple paths may stem from the direct path,the reflection paths from the rough sea surface,and the refraction paths from the atmospheric duct,respectively.To address this issue,we propose a novel blind equalization-aided deep learning(DL)approach to recognize QAM signals in the presence of multipath propagation.The proposed approach consists of two modules:A blind equalization module and a subsequent DL network which employs the structure of ResNet.With predefined searching step-sizes for the blind equalization algorithm,which are designed according to the set of modulation formats of interest,the DL network is trained and tested over various multipath channel parameter settings.It is shown that as compared to the conventional DL approaches without equalization,the proposed method can achieve an improvement in the recognition accuracy up to 30%in severe multipath scenarios,especially in the high SNR regime.Moreover,it efficiently reduces the number of training data that is required. | Xuefei Ji Jue Wang Ye Li Qiang Sun Chen Xu | 2020 | China Communications2020，17，3： | 4 |
| 13 | CAPS satellite spread spectrum communication blind multi-user detecting system based on chaotic sequences显示文摘Multiple Path Interference (MPI) and Multiple Access Interference (MAI) are important factors that affect the performance of Chinese Area Positioning System (CAPS). These problems can be solved by using spreading sequences with ideal properties and multi-user detectors. Chaotic sequences based on Chebyshev map are studied and the satellite communication system model is set up to investigate the application of chaotic sequences for CAPS in this paper. Simulation results show that chaotic sequences have desirable correlation properties and it is easy to generate a large number of chaotic sequences with good security. It has great practical value to apply chaotic sequences to CAPS together with multi-user detecting technology and the system performance can be improved greatly. | LEI LiHua SHI HuLi MA GuanYi | 2009 | Science China(Physics,Mechanics & Astronomy)2009，52，3： | 3 |
| 14 | 陆地棉两个同源基因GhBlind的克隆与表达分析显示文摘Blind同源基因对植物株型调控起着重要作用。本研究用同源克隆策略,在陆地棉(GossypiumhirsutumL.)腋芽部位cDNA中克隆出2个Blind同源基因GhBlind1(GenBank登录号为HQ115643)和GhBlind2(登录号为HQ115644)。GhBlind1和GhBlind2均由3个外显子和2个内含子组成,分别编码359个和262个氨基酸残基。组织特异性表达分析表明,GhBlind1在腋芽部位和茎尖分生组织部位优势表达,在根、叶、茎尖、幼嫩纤维表达,而在茎部不表达;GhBlind2在腋芽部位以及根、茎、叶片、茎尖表达,而在幼嫩纤维不表达。通过重组PCR技术,构建表达载体pSuper-gus-b1和pSuper-gus-b2;应用根癌农杆菌EHA105介导转化棉花胚性愈伤组织进行瞬时表达分析。将棉花胚性愈伤组织共培养4d后,2个表达载体转化的胚性愈伤组织中均能检测到GUS活性,但pSuper-gus-b2表达活性强于pSuper-gus-b1。对Blind同源蛋白的保守结构域比对发现,GhBlind1和GhBlind2与Blind同源蛋白的一致性分别达94%和91%。以Blind同源蛋白作为外参,结合NCBI已公开的23个棉花MYB蛋白构建系统发生树,发现GhBlind1和GhBlind2与棉花大多数MYB蛋白遗传距离较远,和Blind同源蛋白组成一个较小的分支。 | 熊冠军 徐芹 华金平 | 2011 | 作物学报2011，37，2： | 3 |
| 15 | Source Recovery in Underdetermined Blind Source Separation Based on Artificial Neural Network显示文摘We propose a novel source recovery algorithm for underdetermined blind source separation, which can result in better accuracy and lower computational cost. On the basis of the model of underdetermined blind source separation, the artificial neural network with single-layer perceptron is introduced into the proposed algorithm. Source signals are regarded as the weight vector of single-layer perceptron, and approximate ι~0-norm is taken into account for output error decision rule of the perceptron, which leads to the sparse recovery. Then the procedure of source recovery is adjusting the weight vector of the perceptron. What's more, the optimal learning factor is calculated and a descent sequence of smoothed parameter is used during iteration, which improves the performance and significantly decreases computational complexity of the proposed algorithm. The simulation results reveal that the algorithm proposed can recover the source signal with high precision, while it requires lower computational cost. | Weihong Fu Bin Nong Xinbiao Zhou Jun Liu Changle Li | 2018 | China Communications2018，15，1： | 3 |
| 16 | 一种基于Blind Kriging模型和差分进化的电磁结构优化算法显示文摘各类电磁结构日趋复杂,设计自由度不断提升.传统优化算法需要对大量的参数组合进行全波仿真试探,设计效率普遍较低。针对这一问题,提出BK(blind Kriging)模型和差分进化相结合的电磁结构优化算法.相比普通Kriging模型,BK模型通过贝叶斯参数选择算法将影响性能的主要因子加入回归模型,提高对响应的预测精度;依据BK模型的预测结果从每代差分进化种群中选择最优个体执行电磁仿真。由于优化过程中大量的电磁计算转移到快速的BK模型,优化效率得到显著提升。通过一个圆波导多螺钉极化转换器的优化设计,表明该方法的求解质量和收敛速度优于现有算法。 | 陈晓辉 郭欣欣 裴进明 | 2016 | 电子测量与仪器学报2016，30，11： | 2 |
| 17 | 电影《弱点》中的后殖民主义叙事显示文摘《弱点》真正取得成功在于以自身叙事手法将东西方做了一个明显的对比。以西方的中心主义作为出发,来诠释和解读他们认识中的'他者'形象即东方形象。好莱坞的电影看似丰富了大众的文化生活,貌似'无害',仅仅给人以'娱乐'和'消遣',却使当代众多观者在'寓教于乐'和潜移默化过程中接受并认同西方的中心主义思想,而深受后殖民主义理念的感染。 | 李雪霞 | 2011 | 电影评介2011，，7： | 2 |
| 18 | An ICA and EC based approach for blind equalization and channel parameter estimation显示文摘A new on-line blind equalization approach is proposed. The approach combines over-sampling technique with independent component analysis (ICA) neural network and can give equalized output on-line employing only the received signal. Based on the fourth-order cumulants and the characteristic of the linear system, the parameters of original channel are also estimated using evolutionary computation (EC). Compared to traditional equalization methods, the proposed algorithm is of simple architecture, does not need learning sequences apart from the observation, and can achieve both blind equalization and system identification. Computer simulations show good performance. | 何振亚 刘琚 杨绿溪 蔚承建 | 2000 | Science China(Technological Sciences)2000，43，1： | 2 |
| 19 | Gradient method for blind chaotic signal separation based on proliferation exponent显示文摘A new method to perform blind separation of chaotic signals is articulated in this paper, which takes advantage of the underlying features in the phase space for identifying various chaotic sources. Without incorporating any prior information about the source equations, the proposed algorithm can not only separate the mixed signals in just a few iterations, but also outperforms the fast independent component analysis(FastICA) method when noise contamination is considerable. | 吕善翔 王兆山 胡志辉 冯久超 | 2014 | Chinese Physics B2014，23，1： | 2 |
| 20 | Low-complexity fractional phase estimation for totally blind channel estimation显示文摘To remove the scalar ambiguity in conventional blind channel estimation algorithms, totally blind channel estimation(TBCE) is proposed by using multiple constellations. To estimate the unknown scalar, its phase is decomposed into a fractional phase and an integer phase. However, the maximum-likelihood(ML) algorithm for the fractional phase does not have closed-form solutions and suffers from high computational complexity. By exploring the structures of widely used constellations, this paper proposes a low-complexity fractional phase estimation algorithm which requires no exhaustive search. Analytical expressions of the asymptotic mean squared error(MSE) are also derived. The theoretical analysis and simulation results indicate that the proposed fractional phase estimation algorithm exhibits almost the same performance as the ML algorithm but with significantly reduced computational burden. | Xu Wang Tao Yang Bo Hu | 2015 | Journal of Systems Engineering and Electronics2015，26，2： | 2 |
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