关于单位成本信道容量的注记

针对单位成本信道容量的计算问题,首先将一个联系单位成本信道容量与容量成本函数的基本定理推广到一般凸函数的情况,并证明了推广的单位成本容量函数具有单峰性,然后给出了一个利用单峰函数的性质计算单位成本信道容量的算法.同时,针对信道容量成本函数的计算问题,证明了这类带约束的信道容最的计算问题可以化为一个目标函数具有自协调性的凸优化问题,并给出了具体的算法和算法的计算量.     

A two stream convolutional neural network with bi-directional GRU model to classify dynamic hand gesture

Dynamic hand gesture recognition is still an interesting topic for the computer vision community. A set of feature vectors can represent any hand gesture. A Recurrent Neural Network (RNN) can recognize these feature vectors as a hand gesture that analyzes the temporal and contextual information of the gesture sequence. Thus, we proposed a hybrid deep learning framework to recognize dynamic hand gestures. In the Hybrid model GoogleNet is pipelined with a Bidirectional GRU unit to recognize the dynamic hand gesture. Dynamic hand gestures consist of many frames, and features of each frame need to be extracted to get the temporal and dynamic information of the performed gesture. As RNN takes input as a sequence of feature vectors, we extract features from videos using pretrained GoogleNet. As Gated Recurrent Unit is one of the variants of RNN to classify the sequential data, we created a feature vector that corresponds to each video and passed it to the bidirectional GRU (BGRU) network to classify the gestures. We evaluate our model on four publicly available hand gesture datasets. The proposed method performs well and is comparable with the existing methods. For instance, we achieved 98.6% accuracy on Northwestern University Hand Gesture(NWUHG), 99.6% on SKIG, 99.4% on Cambridge Hand Gesture (CHG) datasets respectively. We performed our experiments on DHG14/28 dataset and achieved an accuracy of 97.8% with 14-gesture classes and 92.1% on 28-gesture classes. DHG14/28 dataset contains skeleton and depth data, and our proposed model used depth data and achieved comparable accuracy.     

基于混合总线的地面情报雷达自动测试设备设计

随着科学技术的不断发展,军事电子产品的生产和测试对自动测试技术提出了越来越高的要求。工作方式灵活、功能齐全的自动测试设备成为了军事电子产品生产和科研的必需设备。本文重点讨论了基于混合总线的自动测试设备架构设计,并叙述了关键技术的设计与实现。     

一种应用平行反馈补偿和瞬态响应增强技术的NMOS低压差电压调整器设计

本文提出了一种应用于便携式设备的,采用平行反馈补偿和瞬态响应增强技术的低压差电压调整器。平行反馈的架构引入了一个动态零点,保证环路在0A到1A的负载电流范围内具有足够的相位裕度。通过采用Class-AB结构的误差运放和快速充放电单元增强系统的瞬态响应能力。本文提出的低压差电压调整器采用0.35μm BCD工艺制造。测试结果显示,稳压器的静态电流为165μA,在1A满载情况下,压差可以达到150mV。在满负载瞬态跳变时,输出电压下掉和过冲幅度分别降低到38mV和27mV。     

新型非PWM功率单元在完美无谐波高压变频器中的应用

本文对完美无谐波高压变频器的结构原理和其内部的普通PWM功率单元结构及原理进行了简要的介绍,在此基础上阐释了一种新型的应用于完美无谐波高压变频器的非PWM功率单元,并对其电路结构,工作原理以及特点优势进行了介绍,展示了仿真试验结果,说明了其基于DSP的实现方法。     

基于最小二乘法标定寻北仪基座倾角测量系统的测量当量

为得到准确的基座倾斜量,提出一种基于最小二乘法标定寻北仪基座倾角测量系统的测量当量方法。阐述基于电解质型倾角传感器的寻北仪基座倾角测量系统的工作原理,对基座倾斜的大小和方向进行准确测量,利用基座倾斜与寻北精度影响量之间的数学模型,进行误差补偿,根据最小二乘法建立数据模型,进行数据拟合,当标定的当量与理论设计值相差较大时,可调整电路放大倍数,进行重新标定;当测量当量调整到与设计值基本一致,将最后测量当量标定值记录下来,写入单片机相应flash单元即可。结果表明:该测量方法可以快速简洁地确定测量当量,保证寻北精度。     

基于改进PCA 法的合成分队目标威胁评估

为准确合理地评估合成分队目标威胁大小,提出一种基于改进主成分分析法(principal component analysis, PCA)的合成分队目标威胁评估方法。结合合成分队作战实际和战场态势动态变化的影响,构建评估指标体系,利用 三角模糊层次分析法求出各指标相对权重,建立改进的PCA 威胁评估模型,对各主成分系数进行加权改进,并通过 实例证明了其有效性。实例分析结果表明：该方法与实际相符,可为合成分队威胁评估提供参考。     

CTU depth decision algorithms for HEVC: A survey

High Efficiency Video Coding (HEVC) surpasses its predecessors in encoding efficiency by introducing new coding tools at the cost of an increased encoding time-complexity. The Coding Tree Unit (CTU) is the main building block used in HEVC. In the HEVC standard, frames are divided into CTUs with the predetermined size of up to 64 × 64 pixels. Each CTU is then divided recursively into a number of equally sized square areas, known as Coding Units (CUs). Although this diversity of frame partitioning increases encoding efficiency, it also causes an increase in the time complexity due to the increased number of ways to find the optimal partitioning. To address this complexity, numerous algorithms have been proposed to eliminate unnecessary searches during partitioning CTUs by exploiting the correlation in the video. In this paper, existing CTU depth decision algorithms for HEVC are surveyed. These algorithms are categorized into two groups, namely statistics and machine learning approaches. Statistics approaches are further subdivided into neighboring and inherent approaches. Neighboring approaches exploit the similarity between adjacent CTUs to limit the depth range of the current CTU, while inherent approaches use only the available information within the current CTU. Machine learning approaches try to extract and exploit similarities implicitly. Traditional methods like support vector machines or random forests use manually selected features, while recently proposed deep learning methods extract features during training. Finally, this paper discusses extending these methods to more recent video coding formats such as Versatile Video Coding (VVC) and AOMedia Video 1(AV1).     

基于灰色理论的抽油井泵功图诊断技术研究

抽油井泵功图诊断是油田油井诊断的主要手段。文章详细讨论了抽油机泵功图特点,依据灰色理论方法．提取了功图归一化无因次灰度统计特征,建立了分类特征向量;通过井下实际工矿与知识库中参考故障泵功图的统计特征量之间的灰关联分析,建立了更为合理的抽油井故障诊断模型,提高了诊断正确率,对增加油井产量具有重要的意义。     

大型集聚类业务预测方法探析

以实例论述了大型集会移动话务特点、分析了大型集会移动用户规模、阐述了大型集会用户业务模型,并给出了业务量预测流程及预测实例。