亚运会转播国际声采集和传输系统

以广州亚运会为背景,概括地叙述了大型体育赛事转播系统中,国际声信号的采集和制作所遵从的原则及具体方法,并给出了高质量的、可靠的传输方案。

基于FPGA-PCIe的声发射信号采集系统硬件设计

论文描述了以EP2C5Q208C8N、AD7621以及CH368为核心的声发射数据采集系统的硬件设计,主要提到了系统的实现原理、硬件模块的组成及相应的电路设计。通过Altera公司的Modelsim仿真对模块电路整体工作的过程进行验证,最后采用GWINSTEK函数发生器产生的无直流偏置幅值为4 Vpp、频率为200 kHz正弦波验证系统的硬件指标,验证发现硬件指标可以满足声发射信号采集所需的16 bit分辨率,3MSPS采样率设计要求。

基于FPGA与SD卡的同步声音采集电路设计

针对声音分析处理中相位信息采集的重要性,提出了一种基于FPGA的四通道同步声音采集系统的设计。电路系统中以FPGA芯片作为主控单元,采用有限状态机的方法通过硬件描述语言设计实现了对模数转换器AD7864的控制以及数据的采集和传输。数据存储介质采用SD卡,所实现的声音数据采集系统具有体积小、存储容量大、灵活性强等特点。

多路完全同步采样的声信号采集系统的设计与实现

为了对声目标信号参数的准确估计,本文设计的声目标信号采集系统是以STM32为控制逻辑单元,具有同步采样的ADS7864芯片为AD单元,以双片MAX9812级联为话筒放大电路,通过USB接口实时传输数据给上位机进行处理。系统在软件的控制下完成声信号的采集。通过实际测试,本系统具有高增益、高灵敏度、干扰小和完全同步采样等特点。用采集到的数据进行MUSIC计算,能正确估计声目标信号的波达方向(DOA)。

基于TMS320F2812的声信号采集与特征提取设计

介绍了系统的总体设计并给出前端信号调理电路的详细原理,以声信号为研究对象,以DSP芯片TMS320F2812为核心,使用过采样算法和小波阈值去噪法实现了对声信号的实时采集与滤波处理,并对声信号构建AR模型采用Yule-Walker法完成了特征提取,满足了如目标识别这种对采集处理实时性要求较高的系统的需求。另外,对采集的数据和提取的特征还可以通过SCI口传输到上位机,便于分析和处理。实验表明,该设计切实可行,应具有较好的应用前景。

微声传感器在低空飞行器信号采集系统中的应用

提出了一种基于微声传感器阵列的低空飞行器信号采集方案.为满足无人值守,不间断、长时间工作的要求,采用集成化的设计思想设计了体积小、低功耗的声信号采集电路,并在此基础上提出了一种能满足恶劣环境使用要求的微声传感器封装方法,设计了微型防护咪头.进行了机场实地采集试验,该声信号采集系统在机场进行了实地数据采集实验,并使用MATLAB软件将采集到的数据进行了分析对比,结果表明本文设计的微声传感器在低空飞行器信号采集系统中的应用效果良好.

齿轮箱故障的声信号采集系统设计

为了准确地对齿轮箱故障的声信号进行采集分析,文章进行了基于ALIENTEK STM32F103系列单片机、ATK-VS1053声信号采集模块、TFT触摸屏模块和SD卡存储模块实现的声信号采集的实验,并将采集到的声信号上传于上位机进行分析检测,判断得出齿轮箱具体出了何种故障。文章主要讲述了前端声信号采集与存储的设计。实验结果表明,该方法能够很好地避免齿轮箱周围的噪声干扰,实现准确而持续的信号采集。

一种本安型单通道声发射数据采集装置的设计与实现

本文设计了一种本安型单通道声发射数据采集装置。该装置具有一路数据采集通道,功耗低,满足防爆要求。另外,该装置具有低功耗高性能的中央处理器,满足对高速数据的采集要求。

如何确保电视新闻中同期声的真实

同期声是电视新闻的重要组成部分。它包括人物的有声语言,人与环境的种种声响等。合理运用同期声可强化现场感,增强报道的可信度。同期声拉近了电视报道与观众的距离,使观众感受到现场真实可信的气氛,从而提高了新闻的传播价值。勿庸置疑,确保同期声的真实性对确保电视新闻的真实性至关重要。但在采编实践中常见一些失实的同期声给电视新闻传播带来了很大的负面影响。那么如何才能确保同期声的真实呢? 1、杜绝摆拍现象在同期声采集过程中,常有一些记者非常习惯摆拍。

地震地声监测系统的设计

本文简要介绍了地震与地声,在此基础上设计了低功耗的、分布式的、可移动的地声监测系统。本文主要完成了地声监测系统的设计、地声传感器的选型,并且设计和制作了低价位、低功耗的以MSP430单片机为核心的地声信号采集仪,同时完成了地声信号采集仪软件、上位机通信软件的编程。最后对各部分电路进行实验和调试,并对整个监测系统进行了数据采集和数据传输实验。通过实验证明该监测系统能够达到预期目标和实现预期功能。

Quantifying the Effects of Near-Surface Viscosity on Seismic Acquisition Geometry: A case study from Chepaizi Exploration Area, Junggar Basin (NW China)

The Chepaizi Exploration Area,Junggar Basin(NW China)holds substantial importance for seismic exploration endeavors,yet it poses notable challenges due to the intricate nature of its subsurface and near-surface conditions.To address these challenges,we introduce a novel and comprehensive workflow tailored to evaluate and optimize seismic acquisition geometries while considering the impacts of near-surface viscosity.By integrating geological knowledge,historical seismic data,and subsurface modeling,we conduct simulations employing the visco-acoustic wave equation and reverse-time migration to produce detailed subsurface images.The quality of these images is quantitatively evaluated using a local similarity metric,a pivotal tool for evaluating the accuracy of seismic imaging.The culmination of this workflow results in an automated optimization strategy for acquisition geometries that enhances subsurface exploration.Our proposed methodology underscores the importance of incorporating near-surface viscosity effects in seismic imaging,offering a robust framework for improving the accuracy of subsurface imaging.Herein,we aim to contribute to the advancement of seismic imaging methodologies by providing valuable insights for achieving high-quality seismic exploration outcomes in regions characterized by complex subsurface and near-surface conditions.

一种用于GIS本体机械缺陷诊断和定位的在线异声监测装置

设计了一种用于在线诊断和定位地理资讯系统(GIS)设备缺陷的装置,旨在解决缺乏GIS全息声音数据库的问题,同时可实现对GIS设备机械故障的在线监测。该装置由前端异声在线采集设备、多模通信模块和主站服务器平台软件构成。前端异声在线采集设备在工作时首先使用双通道异声采集传感器获取GIS设备运行时的声音数据,其次基于快速核独立分量分析技术对采集的声波信号进行滤噪,再次利用双谱分析提取滤噪后声波信号的高阶概率结构,并以此作为声波信号的特征向量,最后计算该特征向量与正常状态下特征空间的偏离程度。当偏离超过设定阈值时认定当前信号为疑似故障信号,保存并压缩疑似故障信号的所有数据,同时通过多模通信模块将压缩的数据回传至主站服务器。主站服务器平台基于在线序列超限学习机构建了一种故障诊断模型,当接收到疑似故障信号后,计算其固有模态函数能量熵,并输入故障诊断模型以获取对疑似故障信号的进一步分析和诊断。实验结果表明,采用了前端异声在线采集设备的故障诊断算法,其准确率随数据量的增加而提高,不采用前端设备的准确率则随之降低。这种方法可利用逐步完善的GIS全息声音数据库不断提升故障诊断模型的性能,可实时监测GIS设备的运行状态。

A fast acquisition method of DSSS signals using differential decoding and fast Fourier transform

In low earth orbit (LEO) satellite or missile communication scenarios, signals may experience extremely large Doppler shifts and have short visual time. Thus, direct sequence spread spectrum (DSSS) systems should be able to achieve acquisition in a very short time in spite of large Doppler frequencies. However, the traditional methods cannot solve it well. This work describes a new method that uses a differential decoding technique for Doppler mitigation and a batch process of FFT (fast Fourier transform) and IFFT (invert FFT) for the purpose of parallel code phase search by frequency domain correlation. After the code phase is estimated, another FFT process is carried out to search the Doppler frequency. Since both code phase and Doppler frequency domains are searched in parallel, this architecture can provide acquisition fifty times faster than conventional FFT methods. The performance in terms of the probability of detection and false alarm are also analyzed and simulated, showing that a signal-to-noise ratio (SNR) loss of 3 dB is introduced by the differential decoding. The proposed method is an efficient way to shorten the acquisition time with slightly hardware increasing.

Energy-Efficient Mobile Data Collection Adopting Node Cooperation in an Underwater Acoustic Sensor Network

This paper considers an underwater acoustic sensor network with one mobile surface node to collect data from multiple underwater nodes,where the mobile destination requests retransmission from each underwater node individually employing traditional automatic-repeat-request(ARQ) protocol.We propose a practical node cooperation(NC) protocol to enhance the collection efficiency,utilizing the fact that underwater nodes can overhear the transmission of others.To reduce the source level of underwater nodes,the underwater data collection area is divided into several sub-zones,and in each sub-zone,the mobile surface node adopting the NC protocol could switch adaptively between selective relay cooperation(SRC) and dynamic network coded cooperation(DNC) .The difference of SRC and DNC lies in whether or not the selected relay node combines the local data and the data overheard from undecoded node(s) to form network coded packets in the retransmission phase.The NC protocol could also be applied across the sub-zones due to the wiretap property.In addition,we investigate the effects of different mobile collection paths,collection area division and cooperative zone design for energy saving.The numerical results showthat the proposed NC protocol can effectively save energy compared with the traditional ARQ scheme.

另类音箱另类美

在我们的心获得了极度的安宁之时,我们的目光会不自觉地定格在了那一款款别致而如音乐一样优美的音箱上,我们会发现,那些如音乐一样打动我们的心灵的音箱,在现代技术日新月异的今天,千姿百态地呈现在我们的面前。

The Development and Application of Color Doppler Ultrasound Image-text Management System

In this paper, the advantages and disadvantages of the existing ultrasonic image management system are analyzed, and also a multi-functional color Doppler ultrasound image-text management system is researched and developed in combination with the experience of color Doppler ultrasound doctors. With this system, the related operations such as color Doppler ultrasound images acquisition, processing, preservation, and medical records are implemented. In the design of the system, a professional acquisition card is used for implementing the acquisition of ordinary video signals. In the meantime, DICOM interface is designed using DICOM3.0 protocol for implementing multi-mode acquisition.

Removal of noises from electromagnetic radiation of coal or rock with EEMD-adaptive morphological filter

The electromagnetic radiation （EMR） signal collected by monitoring system during coal or rock dynamic disaster may be interferred easily by electromagnetic noises in mines. The noises have a direct influence on the recognition and analysis of the EMR signal features during the disaster. With the aim of removing these noises, an ensemble empirical mode decomposition （EEMD） adaptive morphological filter was proposed. From the result of the simulation and the experiment, it is shown that the method can restrain the random noise and white Gaussian noise mixed with EMR signal effectively. The filter is highly useful for improving the robustness of the coal or rock dynamic disaster monitoring system.

鸟类鸣声研究

介绍了鸟类鸣声采集和分析的方法,鸣声的多样性及其形成原因以及鸟类鸣声在个体识别、地理变异、系统分类等生态生物学研究中的应用。

Lung sounds auscultation technology based on ANC - ICA algorithm in high bat- tlefield noise environment

AIM:To explore the more accurate lung sounds auscultation technology in high battlefield noise environment.METHODS: In this study, we restrain high background noise using a new method-adaptive noise canceling based on independent component analysis (ANC-ICA), the method, by incorporating both second-order and higher-order statistics can remove noise components of the primary input signal based on statistical independence.RESULTS:The algorithm retained the local feature of lung sounds while eliminating high background noise, and performed more effectively than the conventional LMS algorithm.CONCLUSION:This method can cancel high battlefield noise of lung sounds effectively thus can help diagnose lung disease more accurately.

A Design of Acoustic Signal Wireless Acquisition System for Stored Grain Pests Based on Compressed Sensing

In order to achieve the acoustic signal distributed acquisition of stored grain pests, a novel acoustic signal acquisition system was presented based on the wireless sensor networks. And the system architecture, hardware configuration, and software were introduced in detail. Considering bandwidth limitation of wireless sensor networks, random sampling algorithm based on the compressed sensing theory was proposed. The developed acoustic signal acquisition system was applied in sampling the crawl acoustic signal of Tribolinm castaneum Herbst adults in granary. Preliminary experimentation indicated the rationality and practicability of the developed system and the proposed algorithm. They can implement the remote, real-time, and reliable wireless transmission for the acoustic signal sampled data of multiple points stored grain pests effectively.