• The system is composed of microcomputer, sensor of pulse, program-control amplifier and data sampler.

    该系统是以微型计算机为主,由脉搏传感器,程控放大器和多功能数据采集器组成。

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  • It concludes several parts as follows: a local metering communication network made up of data sampler and concentrator, data remote communication and computer metering management software.

    系统主要包括以下几个部分:数据采集器和数据集中器构成的本地抄表通讯网络,数据远程通讯和计算机抄表管理软件。

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  • The system is composed of programmable power, test circuit, signal sampler, signal conditioner and data acquisition card.

    系统由程控电源、测试回路、信号采样、调理电路和数据采集接口卡等部分组成。

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  • Testing instrument was installed in sampler at heel of hydraulic pump, put into down-hole with pump, and it can examine water cut of formation fluid, save history curves in real time by data memory.

    测试仪器安装在水力活塞泵泵芯尾部取样器内,随泵芯投入井下进行测试,可实时检测地层液的含水率情况,利用数据存储器实时保存历史曲线,提供了全天候观测生产过程的手段。

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  • The on line analysis system consisted of a micro flow sampler, a cascade dilution unit, a micro biosensor, a software for bioprocess data processing, and a computer.

    系统包含在线微量取样、级联稀释、微型生物传感器、生化工程数据处理和分析软件与计算机。

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  • In this paper, we mainly study a kind of multirate nonlinear sampled-data control systems, and discuss the stability properties of its solution while its sampler produces quantization during sampling.

    本文主要研究一类多步长非线性采样控制系统,探讨系统进行采样过程中产生量化误差的情况下其解的稳定性质。

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  • It can be concluded from the result that the real waveform of the three-phase current and voltage can be reverted to the host by the data sampled by the sampler.

    结果显示,被采集的数据在主机上显示的波形能够充分还原三相电压和三相电流的实际波形。

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  • The models were estimated via Gibbs sampler with data augmentation by a mixture of standard exponential distribution and standard normal distribution to represent the asymmetric Laplace distribution.

    由于模型参数的后验条件分布没有确定的分布形式,通过数据扩充得到参数的完全条件分布从而实现模型参数的贝叶斯估计。

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  • The models were estimated via Gibbs sampler with data augmentation by a mixture of standard exponential distribution and standard normal distribution to represent the asymmetric Laplace distribution.

    由于模型参数的后验条件分布没有确定的分布形式,通过数据扩充得到参数的完全条件分布从而实现模型参数的贝叶斯估计。

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