基于太阳黑子群数据的多模态太阳耀斑预报模型

当前的太阳耀斑预报模型主要通过统计关系建立,直接将从太阳黑子群磁图中提取的特征参量作为模型输入,系统的自主性低,导致图像数据中包含的与太阳耀斑相关的高阶抽象信息难以被充分利用,进而限制模型预报的精度。为解决当前太阳耀斑预报中数据利用不充分的问题,文章将海量太阳观测数据与先进的人工智能技术结合,综合利用太阳活动区磁场观测图、磁场特征参量和对应的耀斑事件标签,并借助全连接神经网络高精确率以及卷积神经网络高召回率和可有效提取高层语义信息的优点,构建基于深度学习的多模态太阳耀斑预报模型。实验证明该模型的主要评价指标结果比其他模型至少提高7.8%。     

基于改进Yolov3 算法的舰船目标检测识别系统

针对复杂战场环境下对海目标检测识别的需求,设计了一种基于改进Yolov3 算法的海面舰船目标实 时检测识别系统。使用微调分类网络、增加训练尺度、聚类目标边框维度、二级特征分类等方法对Yolov3 检 测识别网络模型进行了优化,在提高识别精度的同时有效降低了漏检率和虚警率。实验结果表明,优化后的网 络模型在自建的舰船图像数据库中将检测识别平均准确率提高到了79.3%,对真实海上航拍视频中舰船目标识 别的平均准确率达到了81% 以上。     

Rician衰落信道下Turbo码性能分析

文中研究了Rician信道下Turbo码的性能,并详细推导Turbo码在Rician信道下的误码率上界的表达 式,最后对Rician信道的主要参数对译码性能的影响作了仿真。     

用于数字磁记录器的差错控制技术

为满足我国未来大容量对地观测卫星数据记录的需求。要求磁记录器具有大容量、高码速率、高可靠性的特点。文中介绍了一种应用于磁记录器的差错控制方法 ,在系统传输率达到2 6 0 Mb/s的码率下加入差错控制电路后 ,可以大大提高系统的纠错能力。提供了原理、实现方法以及相关数据     

基于场景模型的视频无线信道鲁棒传输

根据无线信道的特点，提出了一种基于场景统计模型的联合信源信道编码和网络拥塞控制的多媒体鲁棒传输系统。首先进行场景统计模型和特性分析，采用MPEG-4分级编码将所有的层划分成几类，接着由码流对网络拥塞和重建视频质量的影响将其分成两个传输优先级队列。在传输过程中，依据信道误码率和网络丢包率进行自适应的信源不同保护等级编码和网络拥塞控制策略。试验数据表明，本方案与以前文献中提出的IPB等方案相比，能够明显的提高重建视频质量。     

基于进离场流量和冲突发生位置的扇区规划

随着空中交通流量的日渐增大，空域结构及交通流分布的不合理性导致空中交通管制与飞行安全存在着一定的隐患。鉴于机场进近区是限制空域运行能力的主要瓶颈，针对如何提高空域资源利用率从而提升空域容量进行了进近区扇区规划，提出了考虑飞行流量、冲突发生的位置以及空域运行情况等因素建立的扇区容量均衡模型，利用霍夫曼编码原理进一步找到了扇区边界，并验证了方法的科学性和合理性。     

Joint Iterative Decoding for Network-Coding-Based Multisource LDPC-Coded Cooperative MIMO

A network-coding-based multisource LDPC-coded cooperative MIMO scheme is proposed,where multiple sources transmit their messages to the destination with the assistance from a single relay.The relay cooperates with multiple sources simultaneously via network-coding.It avoids the issues of imperfect frequency/timing synchronization and large transmission delay which may be introduced by frequency-division multiple access(FDMA)/code-division multiple access(CDMA)and time-division multiple access(TDMA)manners.The proposed joint″Min-Sum″iterative decoding is effectively carried out in the destination.Such a decoding algorithm agrees with the introduced equivalent joint Tanner graph which can be used to fully characterize LDPC codes employed by the sources and relay.Theoretical analysis and numerical simulation show that the proposed scheme with joint iterative decoding can achieve significant cooperation diversity gain.Furthermore,for the relay,compared with the cascade scheme,the proposed scheme has much lower complexity of LDPC-encoding and is easier to be implemented in the hardware with similar bit error rate(BER)performance.     

External Cue Effects on Memory for Spatial Location within a Rotated Task Field

Abstract

We propose a mathematical model of the Path Integration (PI) process. Its core assumption is that orientations of a path are summarized by circular probability distributions. We compare our model with classical, deterministic models of PI and find that, although they are indistinguishable in terms of information encoded, the probabilistic model is more parsimonious when considering navigation strategies. We show how sensory events can enrich the probability distributions memorized, resulting in a continuum of navigation strategies, from PI to stimulus-triggered response. We analyze the combination of circular probability distributions (e.g., multicue fusion), and demonstrate that, contrary to the linear case, adding orientation cues does not always increase reliability of estimates. We discuss experimental predictions entailed by our model.     

REMOTE SENSING IMAGE CODING METHOD COMBINING WAVELET TRANSFORM WITH CLASSIFIED VECTOR QUANTIZATION

A new remote sensing image coding scheme based on the wavelet transform and classified vector quantization (CVQ) is proposed. The original image is first decomposed into a hierarchy of 3 layers including 10 subimages by DWT. The lowest frequency subimage is compressed by scalar quantization and ADPCM. The high frequency subimages are compressed by CVQ to utilize the similarity among different resolutions while improving the edge quality and reducing computational complexity. The experimental results show that the proposed scheme has a better performance than JPEG, and a PSNR of reconstructed image is 31～33 dB with a rate of 0.2 bpp.     

一种新Turbo码交织器的VHDL设计

介绍了Turbo码和交织技术，分析了几种常用交织算法的特点。根据组合交织器的设计思路，提出了隔行写入螺旋式交织方案。利用硬件描述语言（VHDL）编程设计了这种交织器的电路，并给出了仿真结果。