Accelerated generation of holograms with ultra-low memory symmetrically high-compressed look-up table

Computer-generated holography technology has been widely applied,and as research in this field deepens,the demand for memory and computational power in small AR and VR devices continues to increase.This paper presents a hologram generation method,i.e.,a symmetrically high-compressed look-up table method,which can reduce memory usage by50%.In offline computing,half of the basic horizontal and vertical modulation factors are stored,halving the memory requirements without affecting inline speed.Currently,its potential extends to various holographic applications,including the production of optical diffraction elements.

A general purpose exact Rayleigh scattering look-up table for ocean color remote sensing

The current exact Rayleigh scattering calculation of ocean color remote sensing uses the look-up table （LUT）, which is usually created for a special remote sensor and cannot be applied to other sensors. For practical application, a general purpose Rayleigh scattering LUT which can be applied to all ocean color remote sensors is generated. An adding-doubling method to solve the vector radiative transfer equation in the plane-parallel atmosphere is deduced in detail. Compared with the exact Rayleigh scattering radiance derived from the MODIS exact Rayleigh scattering LUT, it is proved that the relative error of Rayleigh scattering calculation with the adding-doubling method is less than 0.25%, which meets the required accuracy of the atmospheric correction of ocean color remote sensing. Therefore, the adding-doubling method can be used to generate the exact Rayleigh scattering LUT for the ocean color remote sensors. Finally, the general purpose exact Rayleigh scattering LUT is generated using the adding-doubling method. On the basis of the general purpose LUT, the calculated Rayleigh scattering radiance is tested by comparing with the LUTs ofMODIS, SeaWiFS and the other ocean color sensors, showing that the relative errors are all less than 0.5%, and this general purpose LUT can be applied to all ocean color remote sensors.

Fine Doppler shift acquisition algorithm for BeiDou software receiver by a look-up table

The BeiDou software receiver uses the fast Fourier transform(FFT)to perform the acquisition.The Doppler shift estimation accuracy should be less than 500 Hz to ensure satellite signals to enter a locked state in the tracking loop.Since the frequency step is usually 500 Hz or larger,the Doppler shift estimation accuracy cannot guarantee that satellite signals are brought into a stable tracking state.The straightforward solutions consist in increasing the sampling time and using zero-padding to improve the frequency resolution of the FFT.However,these solutions intensify the complexity and amount of computation.The contradiction between the acquisition accuracy and the computational load leads us to research for a more simple and effective algorithm,which achieves fine acquisition by a look-up table.After coarse acquisition using the parallel frequency acquisition(PFA)algorithm,the proposed algorithm optimizes the Doppler shift estimation through the look-up table method based on the FFT results to improve the acquisition accuracy of the Doppler shift with a minimal additional computing load.When the Doppler shift is within the queryable range of the table,the proposed algorithm can improve the Doppler shift estimation accuracy to 50 Hz for the BeiDou B1I signal.

Performance of global look-up table strategy in digital image correlation with cubic B-spline interpolation and bicubic interpolation

Global look-up table strategy proposed recently has been proven to be an efficient method to accelerate the interpolation, which is the most time-consuming part in the iterative sub-pixel digital image correlation （DIC） algorithms. In this paper, a global look-up table strategy with cubic B-spline interpolation is developed for the DIC method based on the inverse compositional Gauss-Newton （IC-GN） algorithm. The performance of this strategy, including accuracy, precision, and computation efficiency, is evaluated through a theoretical and experimental study, using the one with widely employed bicubic interpolation as a benchmark. The global look-up table strategy with cubic B-spline interpolation improves significantly the accuracy of the IC-GN algorithm-based DIC method compared with the one using the bicubic interpolation, at a trivial price of computation efficiency.

Research of NO_(2) vertical profiles with look-up table method based on MAX-DOAS

Obtaining the vertical distribution profile of trace gas is of great significance for studying the diffusion procedure of air pollution.In this article,a look-up table method based on multi-axis differential optical absorption spectroscopy(MAX-DOAS)technology is established for retrieving the tropospheric NO_(2) vertical distribution profiles.This method retrieves the aerosol extinction profiles with minimum cost function.Then,the aerosol extinction profiles and the atmospheric radiation transfer model(RTM)are employed to establish the look-up table for retrieving the NO_(2) vertical column densities(VCDs)and profiles.The measured NO_(2) differential slant column densities(DSCDs)are compared with the NO_(2) DSCDs simulated by the atmospheric RTM,and the NO_(2) VCDs,the weight factor of NO_(2) in the boundary layer,and the boundary layer height are obtained by the minimization process.The look-up table is established to retrieve NO_(2) VCDs based on MAX-DOAS measurements in Huaibei area,and the results are compared with the data from Copernicus Atmospheric Monitoring Service(CAMS)model.It is found that there are nearly consistent and the correlation coefficient R2 is more than 0.86.The results show that this technology provides a more convenient and accurate retrieval method for the stereoscopic monitoring of atmospheric environment.

WinoNet:Reconfigurable look-up table-based Winograd accelerator for arbitrary precision convolutional neural network inference

To solve the hardware deployment problem caused by the vast demanding computational complexity of convolutional layers and limited hardware resources for the hardware network inference,a look-up table(LUT)-based convolution architecture built on a field-programmable gate array using integer multipliers and addition trees is used.With the help of the Winograd algorithm,the optimization of convolution and multiplication is realized to reduce the computational complexity.The LUT-based operator is further optimized to construct a processing unit(PE).Simultaneously optimized storage streams improve memory access efficiency and solve bandwidth constraints.The data toggle rate is reduced to optimize power consumption.The experimental results show that the use of the Winograd algorithm to build basic processing units can significantly reduce the number of multipliers and achieve hardware deployment acceleration,while the time-division multiplexing of processing units improves resource utilization.Under this experimental condition,compared with the traditional convolution method,the architecture optimizes computing resources by 2.25 times and improves the peak throughput by 19.3 times.The LUT-based Winograd accelerator can effectively solve the deployment problem caused by limited hardware resources.

Fast Scheme for Projective Geometric Correction and Edge Blending Based on High Dynamic Range Images

With the development of graphic processing unit(GPU)power,it is now possible to implement geometric correction and edge blending functions on a single computer.However,the processing resources consumed by the geometric correction and edge blending phases still burden the system and slow down the main application considerably.A new platform independent scheme is proposed,minimizing the negative influence on performance.In this scheme,parameters for geometric correction and edge blending are firstly defined in an interactive way and recorded as a 32-bit high dynamic range(HDR) image,which is then used by high level shading language(HLSL) codes embedded in the main application as a lookup table,greatly reducing the computational complexity and enhancing flexibility.

十字滑台式多维不倒杆自主纠偏实验装置设计

为了让学生理解海洋风力发机不倒杆结构,该文设计了基于十字滑台的多维不倒杆自主纠偏实验装置,上位机测量并绘制不倒杆在三维空间中的角度、角速度和角加速度的变化,探究抵御外部干扰的相关物理量。通过研究不同受风力面积、不同材料的杆的平衡性,得出选用密度较大、迎风面积小的杆可较好抵御外界干扰。该装置的灵敏度较高,能够作为应用物理和新能源等专业的实验教学装备,有助于深入理解新能源领域的控制理论,提高学生动手能力。

CRC Look-up Table Optimization for Single-Bit Error Correction

Many communication systems use the cyclic redundancy code （CRC） technique for protecting key data fields from transmission errors by enabling both single-bit error correction and multi-bit error detection. The look-up table design is very important for the error-correction implementation. This paper presents a CRC look-up table optimization method for single-bit error correction. The optimization method minimizes the address length of the pre-designed look-up table while satisfying certain restrictions. The circuit implementation is also presented to show the feasibility of the method in the application specific integrated circuit design. An application of the optimization method in the generic framing procedure protocol is implemented using field programmable gatearrays. The result shows that the memory address length has been minimized, while keeping a very simple circuit implementation.

基于数字图像技术振动台试验结构位移信息捕捉技术研究

针对振动台试验模型箱位移、围岩错动以及隧道衬砌变形监测的需求,将YOLO-V2、改进Canny边缘检测、Hough变换及倾斜矫正技术相结合,提出了一种倾斜影像的自动矫正技术,实现了将倾斜影像修正为相机光轴垂直于测点运动平面的图像分析;提高了试验数据结果的处理精度,扩大了目标追踪算法在结构位移和变形监测的使用范围。同时通过核相关滤波技术完成对修正后的影像进行追踪,形成一套完整的地震动信号捕捉与监测系统。采用该系统进行了强震作用下穿越断层隧道韧性结构减震抗错性能试验研究,分别对模型箱位移、围岩错动和隧道衬砌变形进行信号识别与捕捉,同时对比分析了高精度拉线式位移计和位移传感器采集的数据,验证了系统的可靠性。结果表明:在监测点位设有标记物时,首先对采集结果进行倾斜矫正后追踪,通过监测结果与位移传感器进行对比,两者的2-范数小于0.005;而在无标记物时对结构表面特征物进行追踪,精度达到了97.5%;试验数据证明通过倾斜影像自动矫正技术来完成非对正对标记物时的影像进行追踪具有较高可靠性。

动态沙盘制作中逆数字微分纠正

制作动态三维沙盘时,沙盘表面的地形表达一般由投影仪投射遥感影像完成。由于三维地形具有高低起伏的特点,对动态沙盘进行投影时,会出现影像局部偏移、影像无法准确匹配沙盘的情况。针对上述问题,本文提出了逆数字微分纠正技术,首先对投影仪的倾斜、偏位进行校正,然后提供了正解法和反解法两种解算方法,实现了正射影像到中心投影影像的转换,可解决投影时影像局部偏移和匹配精度差的问题。

Differential Spatial Modulation Mapping Algorithms

Differential spatial modulation(DSM)is a multiple-input multiple-output(MIMO)transmission scheme.It has attracted extensive research interest due to its ability to transmit additional data without increasing any radio frequency chain.In this paper,DSM is investigated using two mapping algorithms:Look-Up Table Order(LUTO)and Permutation Method(PM).Then,the bit error rate(BER)performance and complexity of the two mapping algorithms in various antennas and modulation methods are verified by simulation experiments.The results show that PM has a lower BER than the LUTO mapping algorithm,and the latter has lower complexity than the former.

基于遥感云计算平台的卫星影像大气校正应用系统的设计

针对传统大气校正处理模式在数据共享以及业务流程等方面的不足,依托PIE-Engine遥感云计算平台,采用FastAPI Web框架的前后端分离技术,设计了支持PSG等高性能大气辐射传输模型的卫星影像大气校正在线应用系统。在此基础上,开发了一种可指定传感器、目标点位和观测时间等输入条件,运用自适应查找表快速处理业务的大气校正原型系统。该系统的设计和研究,有效拓展了遥感云计算平台的应用领域,也为日后实现功能完备的遥感影像处理分析在线应用系统提供了技术支持。

关于相对重力测量数据处理的探讨

按照《地震重力测量规范》相关理论和细则,对目前所采用的“重力测量电子记簿系统”数据处理软件存在、实际工作中急需解决的几个问题,如仪器高改正、段差计算、环闭合差计算等进行讨论。

一种星载降水测量雷达和地基天气雷达的频率修正方法

通过结合全球降水测量卫星(GPM)反演算法中用到的0℃层亮带模型以及米散射计算,生成了固态、液态以及混合相态3种降水情况下的散射函数查算表;通过与GPM实测数据的对比,验证了查算表的精度,表明散射计算的最大偏差小于0.5 dB。基于该查算表,完成了星载Ku波段雷达到S波段雷达的频率修正。对散射函数的分析表明:Ku波段到S波段的频率修正取决于相态以及谱参数(D_(m))。其中,液态降水的频率修正量以负为主,最大不超过-3 dB。混合相态降水的频率修正量随着0℃层亮带高度的不同差异非常明显。固态降水的频率修正在不存在0℃层亮带时均为正,存在0℃层亮带时则随着温度的变化而显著变化。该方法可用于实现星、地不同波段雷达之间的频率修正,为星载雷达探测精度的一致性检验提供有效支撑。

超声波流量计温度补偿算法研究综述

超声波流量计在计量领域有着独特的优势,具有量程比宽、压损小、精度高等特点,但会受到温度影响存在计量精度下降的问题。文中首先介绍了超声波流量计温度补偿原理与结构特征;然后分析温度补偿的需求,对国内外超声波流量计温度补偿算法相关研究发展进行综述,包括查表修正、曲线拟合、BP(反向传播)算法等;最后,对超声波流量计温度补偿目前的研究现状进行总结和归纳,提出了其研究的关键性技术和所面临的问题。

基于BERT的电网现场作业风险自动评级方法

电网现场作业风险等级影响着作业的安全性和经济性,目前风险等级评级主要依赖于人工评级,存在一定的错误率。以国网公司的作业风险分级表与实际现场历史文本库作为研究对象,在充分分析各自文本特点的基础上,提出了基于BERT(bidirectional encoder representations from transformers)模型的电网现场作业风险自动评级方法。考虑作业风险分级表的概括性,提出对作业风险分级表进行文本增强;考虑实际现场历史文本库中存在一定比例的冗余内容和错误评级,提出冗余文本去除方法和基于文本挖掘技术的风险等级纠错方法;以经过上述方法处理后的2类现场作业文本为样本,构建了基于BERT单文本主题分类微调模型的文本分类模型,实现了对电网现场作业风险的自动评级。算例对比了该文模型与其他分类模型在不同样本集下的评级效果,表明BERT模型能够更全面地获取作业文本的语义特征,分级表的文本增强方法和历史库的风险等级纠错方法能提升评级效果,而冗余文本去除会导致作业文本样本数量减少较多,反而降低评级效果。上述结果表明,该文方法能够实现电网现场作业文本的自动评级,并具有较高的准确性。

The establishment of crystal position look-up table for positron emission tomography with block detectors

A method has been developed to establish the crystal position look-up table for positron emission tomography with block detectors. It is based on the principle that the counts in crystal position histogram obey the Gaussian mixture model (GMM). This method has taken full consideration of the characteristics of the GMM and the detector itself. The experimental results have proved that it is simple, reliable, and universal.

功能性动作筛查在高校乒乓球专项课中的应用研究

通过FMS功能性动作筛查的使用,探究功能性训练在高校乒乓球专项课中的应用。该文采用文献资料法、实验与测试法对24名乒乓球运动员进行FMS功能性动作筛查,随机将其分为两组进行训练,经过8周的训练后,实验组的12名运动员身体功能有了显著性的提升(P<0.05),实验组左右两侧不对称性问题也有了显著性的改善(P<0.05)。由此可见,功能性训练可以有效提高乒乓球运动员的FMS评分,改善不对称性问题。今后,在高校乒乓球专项课中,应将功能性身体纠正训练添加到训练中,增强运动员身体功能、肌肉力量以及两侧的平衡性,从而降低运动员的损伤风险,提高运动员在比赛中的运动表现。

Device and circuit analysis of a sub 20 nm double gate MOSFET with gate stack using a look-up-table-based approach

In this paper, we explore the possibility of mapping devices designed in TCAD environment to its modeled version developed in cadence virtuoso environment using a look-up table （LUT） approach. Circuit simu- lation of newly designed devices in TCAD environment is a very slow and tedious process involving complex scripting. Hence, the LUT based modeling approach has been proposed as a faster and easier alternative in ca- dence environment. The LUTs are prepared by extracting data from the device characteristics obtained from device simulation in TCAD. A comparative study is shown between the TCAD simulation and the LUT-based alternative to showcase the accuracy of modeled devices. Finally the look-up table approach is used to evaluate the perform- ance of circuits implemented using 14 nm nMOSFET.