参数池化卷积神经网络图像分类方法

传统的卷积神经网络使用池化层对信息进行降维操作,通常会造成信息损失,从而影响网络的表达能力.针对这一问题,使用参数池化层（Parameterized Pooling Layer）替代传统卷积神经网络中的池化层,提出参数池化卷积神经网络（Parameterized Pooling CNN,PPCNN）.参数池化层在仅仅增加了少量网络参数的情况下,最大可能的保留了卷积神经网络中希望被保留下来的特征;同时,由于增加了池化层前向传播的信息,从而影响了反向传播算法中权值的更新,网络收敛速度更快;实验结果表明,PPCNN模型与传统卷积神经网络模型以及部分改进模型相比,参数池化卷积神经网络模型是有效的.     

基于Innovus工具的28nm DDR PHY物理设计方法

随着CPU、DSP等器件的处理速度迅速提高,对内存的速度和各方面的需求迅速增加。早期的SDRAM工作频率发展到133MHz已到极限,成为系统性能的瓶颈。DDR（双倍数据率）技术随之应运而生,目前DDR4的性能已经可以达到3200Mbps级别。DDR PHY作为存储控制器和DRAM颗粒物理接口之间的通用接口,是制约DDR读写速度提升的关键。本文以TSMC 28nm工艺的DDR PHY设计为例,结合Innovus工具,在描述流程之外,重点研究解决了后端物理设计中时序路径的时间预算、延时优化、路径对齐等问题。最后该DDR PHY在一款工业级DSP中成功集成,并且板级测试结果表明其物理设计结果达到指标要求。     

E‐TDGO: An encrypted trust‐based dolphin glowworm optimization for secure routing in mobile ad hoc network

Mobile ad hoc networks (MANETs) are independent networks, where mobile nodes communicate with other nodes through wireless links by multihop transmission. Security is still an issue to be fixed in MANETs. Hence, a routing protocol named encrypted trust‐based dolphin glowworm optimization (DGO) (E‐TDGO) is designed using Advanced Encryption Standard‐128 (AES‐128) and trust‐based optimization model for secure routing in MANET. The proposed E‐TDGO protocol includes three phases, namely, k‐path discovery, optimal path selection, and communication. At first, k paths are discovered based on the distance and the trust level of the nodes. From the k paths discovered, the optimal path is selected using a novel algorithm, DGO, which is developed by combining glowworm swarm optimization (GSO) algorithm and dolphin echolocation algorithm (DEA). Once the optimal path is selected, communication begins in the network such that E‐TDGO protocol ensures security. The routing messages are encrypted using AES‐128 with shared code and key to offer security. The experimental results show that the proposed E‐TDGO could attain throughput of 0.11, delay of 0.01 second, packet drop of 0.44, and detection rate of 0.99, at the maximum number of rounds considered in the network of 75 nodes with attack consideration.     

On the performance of improved quadrature spatial modulation

Quadrature spatial modulation (QSM) utilizes the in‐phase and quadrature spatial dimensions to transmit the real and imaginary parts of a single signal symbol, respectively. The improved QSM (IQSM) transmits two signal symbols per channel use through a combination of two antennas for each of the real and imaginary parts. The main contributions of this study can be summarized as follows. First, we derive an upper bound for the error performance of the IQSM. We then design constellation sets that minimize the error performance of the IQSM for several system configurations. Second, we propose a double QSM (DQSM) that transmits the real and imaginary parts of two signal symbols through any available transmit antennas. Finally, we propose a parallel IQSM (PIQSM) that splits the antenna set into equal subsets and performs IQSM within each subset using the same two signal symbols. Simulation results demonstrate that the proposed constellations significantly outperform conventional constellations. Additionally, DQSM and PIQSM provide a performance similar to that of IQSM while requiring a smaller number of transmit antennas and outperform IQSM with the same number of transmit antennas.     

模拟退火法在椭偏光谱数值反演中的应用

将模拟退火（ＳＡ）法应用于椭偏光谱数值反演,以达到同时得到介质薄膜的厚度和光学常数谱,并对ＳＡ算法作了说明和改进,作为应用实例,计算了Ｓｉ衬底上的ＳｉＯ２薄膜和Ｂａ０．９Ｓｒ０．１ＴｉＯ３（ＢＳＴ）铁电薄膜的膜厚及光学常数谱,同时讨论了椭扁参数φ和△随膜厚及折射率变化的灵敏度。     

IPSec VPN的性能分析与优化

随着计算机网络技术的飞速发展,如何使得Internet同时具有良好的安全性和性能已经成为一个有挑战性而又十分有意义的重要问题。论文首先针对IPSecVPN性能的瓶颈进行了分析,接着在对IPSecVPN体系进行剖析的基础上提出了一些优化方案。     

小波变换的SAR原始数据网格编码量化压缩算法

介绍了小波变换和网格编码量化的优点,针对SAR原始数据的基本特点,提出了基于小波变换的8状态网格编码量化压缩算法。对小波变换后的数据进行网格编码量化,利用卷集编码和信号空间扩展来增大量化信号间的欧氏距离,获得了更好的量化效果。利用实际数据进行的实验结果表明,文中提出的算法在量化性能上优于已有的各种压缩算法。     

地基雷达与预警机系统协同部署优化方法

对预警机系统的探测盲区进行了深入分析和建模,讨论了地基雷达与预警机系统协同部署的效能指标,进行了部署优化的遗传算法设计,旨在对地基雷达与预警机系统的协同部署优化方法进行一些有益的探讨。仿真结果表明,文中所述方法的有效性,对地基雷达与预警机系统的协同部署优化有一定的参考价值。     

半导体激光器参量估计的改进算法

为了精确估计带外腔半导体激光器的线宽展宽因数,采用了光反馈自混合技术和梯度最优算法,可以达到数据-理论的最佳拟合,同时提出了改进的梯度迭代公式,并在参量迭代时引入可变步长,取得了仿真和实验数据.该算法不仅测量精度较高,而且抗噪声性能较好.仿真结果表明,当信噪比大于20dB时,线宽展宽因数的相对标准差小于2.55%.实验数据处理结果表明,线宽展宽因数的相对标准差小于5.1%,对半导体激光器的应用是有帮助的.     

欺骗式动目标SAR干扰技术研究

针对军事运动目标的保护问题,文章研究了欺骗式动目标的SAR干扰方法,分析了干扰原理和干扰信号模型,讨论了被干扰雷达运行速度和工作载频估计误差对欺骗式动目标干扰效果的影响,仿真结果表明,欺骗式动目标干扰技术可以对SAR的动目标检测能力形成有效干扰,达到保护真实运动目标的目的。