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| 1 | Mitigating end effects of EMD using non-equidistance grey model显示文摘Aiming at mitigating end effects of empirical mode decomposition (EMD), a new approach motivated by the nonequidistance grey model (NGM) termed as NGM(1,1) is proposed. Other than trapezoid formulas, the cubic Hermite spline is put forward to improve the accuracy of derivative to the accumulated generating operation (AGO) series. Hopefully, it is worth stressing that the proposed NGM(1,1) model is particularly useful for predicting uncertainty data. Qualitative and quantitative comparisons between the proposed approach and other well-known algorithms are carried out through computer simulations on synthetic as well as natural signals. Simulation results demonstrate the proposed method can reduce end effects and improve the decomposition results of EMD. | Zhi He Yi Shen Qiang Wang Yan Wang Naizhang Feng Liyong Ma | 2012 | Journal of Systems Engineering and Electronics2012,23,4: | 4 |
| 2 | Feature analysis of acoustic emission sources for rail crack detection by the finite element method显示文摘The safety of rail is very important for the development of high speed railway,and it is necessary to investigate the features of inner cracks in rail.In order to obtain the features of Acoustic Emission(AE)sources of inner cracks in rail,AE sources with different types,depths and propagation distances are examined for crack in rail.The finite element method is utilized to model the rail with cracks and the results of experiment demonstrate the effectiveness of this model.Wavelet transform and Rayleigh-Lamb equations are utilized to extract the features of crack AE sources.The results illustrate that the intensity ratio among AE modes can identify the AE source types and the AE sources with different frequencies in rail.There are uniform AE mode features existing in the AE signals from AE sources in rail web,however AE signals from AE sources in rail head and rail base have the complex and unstable AE modes.Different AE source types have the different propagation features in rail.It is helpful to understand the rail cracks and detect the rail cracks based on the AE technique. | ZHANG Xin FENG Naizhang WANG Yan SHEN Yi | 2015 | Chinese Journal of Acoustics2015,34,3: | 3 |
| 3 | Modified MUSIC estimation for correlated signals with compressive sampling arrays显示文摘This paper addresses the issue of the direction of arrival(DOA) estimation under the compressive sampling(CS) framework. A novel approach, modified multiple signal classification(MMUSIC) based on the CS array(CSA-MMUSIC), is proposed to resolve the DOA estimation of correlated signals and two closely adjacent signals. By using two random CS matrices, a large size array is compressed into a small size array, which effectively reduces the number of the front end circuit. The theoretical analysis demonstrates that the proposed approach has the advantages of low computational complexity and hardware structure compared to other MMUSIC approaches. Simulation results show that CSAMMUSIC can possess similar angular resolution as MMUSIC. | Yan Jing Naizhang Feng Yi Shen | 2014 | Journal of Systems Engineering and Electronics2014,25,5: | 2 |
| 4 | A quadrature demodulation method based on tracking the ultrasound echo frequency显示文摘 | Naizhang Feng Jianqiu Zhang Weiqi Wang | 2006 | Ultrasonics2006,,: | 1 |
| 5 | Construction of deterministic sensing matrix and its application to DOA estimation显示文摘Compressive sensing(CS) has emerged as a novel sampling framework which enables sparse signal acquisition and reconstruction with fewer measurements below the Nyquist rate.An important issue for CS is the construction of measurement matrix or sensing matrix.A new deterministic sensing matrix,named as OOC-B,is proposed by exploiting optical orthogonal codes(OOCs),Bernoulli matrix and Singer structure,which has the entries of 0,+1 and-1 before normalization.We have proven that the designed deterministic matrix is asymptotically optimal.In addition,the proposed deterministic sensing matrix is applied to direction of arrival(DOA) estimation of narrowband signals by CS arrays(CSA)processing and CS recovery.Theoretical analysis and simulation results show that the proposed sensing matrix has good performance for DOA estimation.It is very effective for simplifying hardware structure and decreasing computational complexity in DOA estimation by CSA processing.Besides,lower root mean square error(RMSE) and bias are obtained in DOA estimation by CS recovery. | Yi Shen Yan Jing Naizhang Feng | 2016 | Journal of Systems Engineering and Electronics2016,27,1: | 1 |
| 6 | Synthetic aperture-based linear-array photoacoustic tomography considering the aperture orientation effect显示文摘The synthetic apert ure based linear array photoacoustic tomography(PAT)was proposed to address the limited-view shortcomings of the single aperture,but the detection field of view(FOV)determined by the apert ure orientation efect was not fully considered yet,leading to the limited-view observation and image resolution degradation.Herein,the aperture orientation effect was proposed from the theoretical model and then it was verified via both the numerical simulation and phantom experiment.Different orientations were enumerated sequentially in the simulation to approximate the ideal fullview case for the optimal detection FOV,considering the detect.ion pattern of the linear array transducer.As a result,the corresponding optimal aperture orientation was 60°if the synthetic aperture was seamlessly established by three single linear arrays,where the overlapped detection pattern was optimized from the individual linear-array transducer at the adjacent positions.Therefore,the limited view artifacts were minimized and the image resolution was enhanced in this aperture orientation.This study showed that the aperture orientation had great influence on the optimal detection FOV in the synthetic aperture configuration,where the full-view imaging quality and enhanced image resolution could be achieved. | Xiangwei Lin Jaesok Yu Naizhang Feng Mingjian Sun | 2018 | Journal of Innovative Optical Health Sciences2018,,4: | 0 |