APPLICATION AND IMPLEMENTATION OF REAL-TIME IMAGE ZOOMING WITH THE WALSH TECHNIQUE

Based on the study of Walsh transformation,the zooming template of a two dimensional superimposure filter is decomposed and simplified,and it is real time implemented with FPGA.This method is simple and effective.The quality of the image is very good.

A Method for Rapidly Determining the Optimal Distribution Locations of GNSS Stations for Orbit and ERP Measurement Based on Map Grid Zooming and Genetic Algorithm

Designing the optimal distribution of Global Navigation Satellite System(GNSS)ground stations is crucial for determining the satellite orbit,satellite clock and Earth Rotation Parameters(ERP)at a desired precision using a limited number of stations.In this work,a new criterion for the optimal GNSS station distribution for orbit and ERP determination is proposed,named the minimum Orbit and ERP Dilution of Precision Factor(OEDOP)criterion.To quickly identify the specific station locations for the optimal station distribution on a map,a method for the rapid determination of the selected station locations is developed,which is based on the map grid zooming and heuristic technique.Using the minimum OEDOP criterion and the proposed method for the rapid determination of optimal station locations,an optimal or near-optimal station distribution scheme for 17 newly built BeiDou Navigation Satellite System(BDS)global tracking stations is suggested.To verify the proposed criterion and method,real GNSS data are processed.The results show that the minimum OEDOP criterion is valid,as the smaller the value of OEDOP,the better the precision of the satellite orbit and ERP determination.Relative to the exhaustive method,the proposed method significantly improves the computational efficiency of the optimal station location determination.In the case of 3 newly built stations,the computational efficiency of the proposed method is 35 times greater than that of the exhaustive method.As the number of stations increases,the improvement in the computational efficiency becomes increasingly obvious.

Zooming算法在磁极优化设计中的应用

把一种新型全局优化算法—Zooming算法引进到电机优化设计中。首先介绍Zooming算法的基本原理,然后以该算法对永磁起动机进行磁极优化设计,取得较为满意的结果。

Adaptive Image Zooming Algorithm Combining Total Variation Minimization and a Second-order Functional

An image zooming algorithm by using partial differential equations(PDEs) is proposed here. It combines the second-order PDE with a fourth-order PDE. The combined algorithm is able to preserve edges and at the same time avoid the blurry effect in smooth regions. An adaptive function is used to combine the two PDEs. Numerical experiments illustrate advantages of the proposed model.

Image zooming via surface fitting based on edge constraint

In this paper we present a new image zooming algorithm based on surface fitting with edge constraint. In surface fitting,we consider not only the relationship of corresponding pixels between the original image and the enlarged image, but also the neighbor pixels in the enlarged image according to the local structure of original image. Furthermore, during surface fitting, more interpolation constraints are used in the new algorithm for improving the precision of the super sampling pixels. The experimental results show that the new method outperforms the previous methods which based on surface fitting.

Adaptive multiscale microscope with fast zooming,extended working distance,and large field of view

The field-of-view(FOV),depth of field,and resolution of conventional microscopes are constrained by each other;therefore,a zoom function is required.Traditional zoom methods lose real-time performance and have limited information throughput,severely limiting their application,especially in three-dimensional dynamic imaging and large-amount or large-size sample scanning.Here,an adaptive multiscale(AMS)imaging mechanism combining the benefits of liquid lenses and multiscale imaging techniques is proposed to realize the functions of fast zooming,wide working distance(WD)range and large FOV on a self-developed AMS microscope.The design principles were revealed.Moreover,a nonuniform-distortion-correction algorithm and a composite patching algorithm were designed to improve image quality.The continuous tunable magnification range of the AMS microscope is from 9×to 18×,with the corresponding FOV diameters and resolution ranging from 2.31 to 0.98 mm and from 161 to 287 line-pairs/mm,respectively.The extended WD range is 0.8 mm and the zoom response time is 38 ms.Experiments demonstrated the advantages of the proposed microscope in pathological sample scanning,thick-sample imaging,microfluidic process monitoring,and the observation of living microorganisms.The proposed microscope is the first step towards zoom multiscale imaging technology and is expected to be applied in life sciences,medical diagnosis,and industrial detection.

Design and fabrication of compound varifocal lens driven by polydimethylsiloxane film elastic deformation

A compound varifocal lens based on electromagnetic drive technology is designed and fabricated, where the polydimethylsiloxane(PDMS) film acts as a driving component, while the PDMS biconvex lens and the plane-concave lens form a coaxial compound lens system. The plane-concave lens equipped with driving coils is installed directly above the PDMS lens surrounded by the annular magnet. When different currents are applied, the annular magnet moves up and down, driving the PDMS film to undergo elastic deformation, and then resulting in longitudinal movement of the PDMS lens. The position change of the PDMS lens changes the focal length of the compound lens system. To verify the feasibility and practicability of this design, a prototype of our compound lens system is fabricated in experiment. Our proposed compound lens shows that its zoom ability reaches 9.28 mm when the current ranges from -0.20 A to 0.21 A.

基于频谱细化算法的超声多普勒流量计设计

流量计作为一种计量传感器设备,是水务信息化综合系统的重要组成部分,其数据精度直接影响系统计量结果。本文基于频谱细化的方法设计了高精度超声多普勒流量计,该流量计采用低功耗单片机(MCU)作为主控芯片,产生频率可配置的中高频脉冲信号,经功率放大电路后驱动由大功率金属氧化物半导体场效应管(MOSFET)组成的超声波发射电路。设计了回波信号提取电路,实现回波信号的放大、噪声滤除、频差信号提取等功能。采用复调制ZOOM FFT频谱细化算法进行频谱分析,显著提高了频率分辨率和频移计算精度。经实验测试,在低流速(0.19 m/s)、中流速(0.5 m/s)和高流速(0.984 m/s)状态下,流量计测量误差分别为5.161%、2.248%和1.985%。

Analysis of the Influence of Sound Source Position and Electrode Placement on the Stimulation Pattern of the Cochlear Implant under Noise Conditions: Optimization of Auditory Perceptual Effects

Background: Cochlear implants (CI) are widely used to restore hearing in people with severe to profound hearing loss. However, optimizing CI performance, especially in difficult listening environments with background noise, remains a major challenge. Understanding the influence of factors such as sound source position and electrode placement on CI stimulation patterns is critical to improving auditory perception. Methods: In this study, an analysis was conducted to investigate the influence of sound source position and electrode placement on CI stimulation patterns under noisy conditions. For this purpose, a special measurement setup with a CI speech processor-microphone test box was used to simulate realistic listening scenarios and measure CI performance. Results: The results show that the effectiveness of CI noise reduction systems is influenced by factors such as the position of the sound source and electrode placement. In particular, the beamforming ultra zoom mode showed significantly better noise reduction than the omnidirectional mode, especially under real listening conditions. Furthermore, differences in electrode responses indicate individual variability in the CI user experience, highlighting the importance of personalized fitting algorithms. Conclusions: The results demonstrate the importance of considering environmental factors and individual differences when optimizing CI performance. Future research efforts should focus on the development of personalized fitting algorithms and the exploration of innovative strategies, such as the integration of artificial intelligence, to improve CI functionality in different listening environments. This study contributes to our understanding of CI stimulation patterns and lays the foundation for improving auditory perception in CI users.

远程会议口译的发展及对教学的影响——以JIPM认证审核会议实践为例

远程会议口译的发展受到远程信息技术的推动,同时也在很大程度上受到会议组织者、参与者和口译员的影响。JIPM认证审核从传统口译模式向远程会议口译模式的转变,标志着远程会议口译的发展进入新阶段。这一变化不仅与会议组织者、参与者和口译员的利益得失密切相关,同时还对口译教学提出了新的要求和挑战。基于此,文章以JIPM认证审核会议实践为例,探讨了远程会议口译的发展对教学的影响。

Online International Peer Interaction:An Exploration of Impacts on Comprehensive Competencies,Global Perspectives,and Cross-Cultural Communication Skills

With the increasing trend of globalization and the rapid advancement of information technology,online learning platforms such as Zoom are becoming increasingly influential in the field of education.The focus of this study was the online international peer interaction based on the Zoom platform,detailing how such interaction programs are conducted and exploring in depth the specific impacts of this interaction mode on students’comprehensive competencies,global perspectives,and cross-cultural communication skills.This research not only provides new practical references for online learning and international education but also offers new research perspectives and directions for educators and researchers.

基于无人机技术的石窟场景三维建模

为解决传统建模方法存在的数据采集不全面、成本高、建模效率低下等问题,以我国古石窟景区为例,运用DJI Mavic 2 Zoom无人机倾斜摄影测量技术,运用5架次航飞法,科学设置无人机技术航飞相关参数,从而实现对高质量、高清晰图片数据的采集,并运用Context Capture软件完成对高质量场景三维模型的构建。结果表明,DJI Mavic 2 Zoom无人机具有强大的倾斜摄影功能和场景三维建模功能,能有效地提高石窟场景三维建模效果,完全符合实际应用需求。

基于质谱的动物考古学研究现状与展望

动物考古学对于重建古代居民活动范围附近的生态环境以及古人类动物资源利用方面的行为信息至关重要,然而传统的动物考古学方法难以鉴别缺乏明确形态学鉴定特征的动物考古材料和动物制品。基于质谱的动物考古学(zooarchaeology by mass spectrometry,ZooMS)利用蛋白质酶切后肽段的一级质谱分析对动物遗存进行种属鉴定,是古蛋白质组学的重要研究方法。本文介绍ZooMS的原理、方法以及研究进展,希望促进ZooMS技术在国内考古学界的应用。同时,该技术在现代食品、药品、保健品、皮草和海关缉私等相关行业也有着广泛的应用前景。

ARRI推出全新Impression V滤镜

2月22日,ARRI推出全新Impression滤镜系列产品,其中8个Impression V滤镜为Signature Prime定焦镜头和Signature Zoom变焦镜头增添了复古感。4个负片和4个正片的屈光镜可以逐步改变成像的焦点特性,只需一组Signature镜头,即可为Super 35或大画幅格式调出一系列画面效果。

Blackmagic Camera 8.1.2版软件更新发布

针对Blackmagic URSA Broadcast G2型号的Blackmagic Camera 8.1.2版软件更新日前已正式发布。本次更新改进了Blackmagic Zoom Demand变焦控制器的响应曲线,使变焦速度拨盘在较高设置下也可以实现更微妙和渐进的变焦镜头移动,在直播时能够更好地调整取景构图。

大型活动现场大屏系统的搭建与内容设计

2022年天津举办的两场大型会议(第六届世界智能大会及第一届世界职业技术教育发展大会)上,通过以播控系统和总控系统为技术背景的现场大屏系统集成,实现了大屏的时间线模式与窗口模式双控制模式的可视化输出。

ZFFT与Chirp-Z变换细化选带的频谱分析对比

在细化选带频谱分析中,复调制细化方法(ZFFT)和线性调频Z变换方法(Ch irp-Z变换)是常用的两种方法。通过理论分析和仿真计算,对两者在算法、特点和误差方面进行对比分析表明:对于单频率和谱线干涉不严重的多频率谐波成分,使用FFT后进行校正,或者使用CZT细化分析,均能得到高精度的频率、幅值和相位,不必使用ZFFT;对于发生严重干涉现象的密集多频率谐波成分,ZFFT通过增大细化倍数后重采样,把干涉的各频率成分分离后进行校正可获得高精度的信号参数,但CZT只是把细化分析频带局部放大,无法消除干涉影响,提高频率分辨率也无法分离出信号的真实频率成分。通过增大采样点数,减少干涉产生的误差,CZT可以获得较高精度的信号参数,但却大大增加了运算时间。

基于傅里叶变换光谱技术的Zoom-FFT算法研究

在分析经典的Zoom-FFT算法基础上,提出一种基于傅里叶变换光谱技术的Zoom-FFT算法,用matlab仿真常规FFT算法和Zoom-FFT算法,对不同采样步长的干涉条纹进行数据处理,通过反演出的光谱曲线图和原始光谱曲线图可以看出:采样步长小于20μm时,FFT和Zoom-FFT算法都可以反演出光谱;而当采样步长大于20μm且小于33.3μm时,FFT算法未能反演出光谱,而Zoom-FFT算法仍然可以反演出光谱。

STFT和Zoom-FRFT联合的多分量LFM信号参数估计方法

针对传统基于分数阶傅里叶变换(FRFT)的多分量线性调频信号(MLFM)参数估计方法中计算量大,估计精度低等问题,提出了一种短时傅里叶变换(STFT)和Zoom-FRFT联合的参数估计方法.首先,利用STFT得到MLFM信号的短时傅里叶域频谱图,对其进行直线检测得到各个分量参数的粗略估计.然后,利用LFM信号在FRFT域的频谱分布特征和STFT窗函数的主瓣带宽,计算得到待估计信号在FRFT域变换阶次和频谱的分析范围;最后,在Zoom-FRFT域采用优选法对各个分量进行精估计,得到精确的变换阶次和峰值位置.仿真结果表明,该方法可以有效地对MLFM信号进行参数估计,可以根据实际需要灵活选择窗函数的宽度和细化倍数,与传统方法相比,提高参数估计精度的同时大大减小了计算量.

一种提高超声波多普勒流量计测量精度的方法

由于强噪声背景下的多普勒超声波回波信号属于微弱信号,传统谱分析方法对微小多普勒偏移量的测量误差较大,使得现有的超声多普勒流量计在应用范围和测量精度上受到限制,因此提出采用Zoom FFT结合卡尔曼滤波来提高多普勒流量计的测量精度。文中首先采用Zoom FFT来提高多普勒回波信号的频率分辨率,然后通过卡尔曼滤波器递推跟踪频率偏移值,最后在Matlab环境下实现了Zoom FFT算法和卡尔曼滤波算法。现场测试结果表明:采用Zoom FFT结合卡尔曼滤波可以提高流量测量精度。