An alternative extension to the Gaussian-beam expansion technique is provided to simplify the computation of the ~esnel field integral for rectangular symmetric sources. From a known result that the circle or rectangl...An alternative extension to the Gaussian-beam expansion technique is provided to simplify the computation of the ~esnel field integral for rectangular symmetric sources. From a known result that the circle or rectangle function is approximately decomposed into a sum of Gaussian functions, the cosine function is similarly expanded by the Bessel Fourier transform. Two expansions are together inserted in this field integral, it is then expressible in terms of the simple algebraic functions. As examples, the numerical results for the sound pressure field are presented for the uniform rectangular piston transducer, in a good agreement with those directly evaluated from the Fresnel integral. A wide applicability of this approach is discussed in treatment of the ultrasonic field radiation problem for a large and important group of piston sources in acoustics.展开更多
Based on geometrical facial features and image segmentation, we present a novel algorithm for automatic localization of human eyes in grayscale or color still images with complex background. Firstly, a determination c...Based on geometrical facial features and image segmentation, we present a novel algorithm for automatic localization of human eyes in grayscale or color still images with complex background. Firstly, a determination criterion of eye location is established by the prior knowledge of geometrical facial features. Secondly, a range of threshold values that would separate eye blocks from others in a segmented face image (i.e., a binary image) are estimated. Thirdly, with the progressive increase of the threshold by an appropriate step in that range, once two eye blocks appear from the segmented image, they will be detected by the determination criterion of eye location. Finally, the 2D correlation coefficient is used as a symmetry similarity measure to check the factuality of the two detected eyes. To avoid the background interference, skin color segmentation can be applied in order to enhance the accuracy of eye detection. The experimental results demonstrate the high efficiency of the algorithm and correct localization rate.展开更多
In this paper, we propose the novel iterative detection which operates iteratively on blocks of the received signal in downlink in massive MIMO (Massive Multiple-input Multiple-output) system. This article will combin...In this paper, we propose the novel iterative detection which operates iteratively on blocks of the received signal in downlink in massive MIMO (Massive Multiple-input Multiple-output) system. This article will combine the equivalent channel with soft detection and soft decoder, and finally propose a new structure for the iterative detection in downlink based on 5G simulation test platform of NCRL and analysis the performance of the novel structure. The simulation result shows iterative algorithm performs better than conventional detection with lower amount of iterations.展开更多
针对长短码直接扩频序列(long and short code direct sequence spread spectrum, LSC-DSSS)信号序列估计难题,在已知LSC-DSSS信号参数的条件下,提出一种基于新信息准则(novel information criterion, NIC)神经网络联合梅西算法的长短...针对长短码直接扩频序列(long and short code direct sequence spread spectrum, LSC-DSSS)信号序列估计难题,在已知LSC-DSSS信号参数的条件下,提出一种基于新信息准则(novel information criterion, NIC)神经网络联合梅西算法的长短码信号序列估计方法。将LSC-DSSS信号输入NIC神经网络以估计随机采样起点,再通过不断输入数据训练NIC神经网络权值向量。当网络收敛时,权值向量的符号值即为LSC-DSSS信号的复合码序列片段。使用延迟相乘,消除幅度模糊与短扩频码序列的影响,再利用梅西算法获得扰码序列的生成多项式。仿真实验结果表明,NIC神经网络较特征值分解法的抗噪声性能提高6 dB,同时较Hebbian准则神经网络所需学习组数减少50%。展开更多
基金Supported by the National Natural Science Foundation of China under Grant Nos 11074038 and 11374051
文摘An alternative extension to the Gaussian-beam expansion technique is provided to simplify the computation of the ~esnel field integral for rectangular symmetric sources. From a known result that the circle or rectangle function is approximately decomposed into a sum of Gaussian functions, the cosine function is similarly expanded by the Bessel Fourier transform. Two expansions are together inserted in this field integral, it is then expressible in terms of the simple algebraic functions. As examples, the numerical results for the sound pressure field are presented for the uniform rectangular piston transducer, in a good agreement with those directly evaluated from the Fresnel integral. A wide applicability of this approach is discussed in treatment of the ultrasonic field radiation problem for a large and important group of piston sources in acoustics.
基金This research was supported by the Excellent Young Teachers Program of the Ministry of Education, P. R. China, the National Natural Science Foundation of China(No. 60375010)
文摘Based on geometrical facial features and image segmentation, we present a novel algorithm for automatic localization of human eyes in grayscale or color still images with complex background. Firstly, a determination criterion of eye location is established by the prior knowledge of geometrical facial features. Secondly, a range of threshold values that would separate eye blocks from others in a segmented face image (i.e., a binary image) are estimated. Thirdly, with the progressive increase of the threshold by an appropriate step in that range, once two eye blocks appear from the segmented image, they will be detected by the determination criterion of eye location. Finally, the 2D correlation coefficient is used as a symmetry similarity measure to check the factuality of the two detected eyes. To avoid the background interference, skin color segmentation can be applied in order to enhance the accuracy of eye detection. The experimental results demonstrate the high efficiency of the algorithm and correct localization rate.
文摘In this paper, we propose the novel iterative detection which operates iteratively on blocks of the received signal in downlink in massive MIMO (Massive Multiple-input Multiple-output) system. This article will combine the equivalent channel with soft detection and soft decoder, and finally propose a new structure for the iterative detection in downlink based on 5G simulation test platform of NCRL and analysis the performance of the novel structure. The simulation result shows iterative algorithm performs better than conventional detection with lower amount of iterations.
文摘针对长短码直接扩频序列(long and short code direct sequence spread spectrum, LSC-DSSS)信号序列估计难题,在已知LSC-DSSS信号参数的条件下,提出一种基于新信息准则(novel information criterion, NIC)神经网络联合梅西算法的长短码信号序列估计方法。将LSC-DSSS信号输入NIC神经网络以估计随机采样起点,再通过不断输入数据训练NIC神经网络权值向量。当网络收敛时,权值向量的符号值即为LSC-DSSS信号的复合码序列片段。使用延迟相乘,消除幅度模糊与短扩频码序列的影响,再利用梅西算法获得扰码序列的生成多项式。仿真实验结果表明,NIC神经网络较特征值分解法的抗噪声性能提高6 dB,同时较Hebbian准则神经网络所需学习组数减少50%。
