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   feedforward 在 无线电电子学 分类中 的翻译结果: 查询用时:0.15秒
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feedforward
相关语句
  前馈
    The theoretical analysis and experimental results show that using feedforward single-loop linearization technology can greatly improve the microwave power amplifier linearization to reduce the harmonic and intermodulation components.
    理论分析和实验表明,用前馈单环线性化技术对RF功率放大器进行线性化补偿,可以大大提高微波功率放大器的线性度,从而达到减小各谐波和互调分量的目的.
短句来源
    Microwave Feedforward Amplifier Technology
    微波前馈功率放大技术
短句来源
    Research on Adaptive Power Amplifier Feedforward Linear
    前馈自适应线性功率放大器研究
短句来源
    Feedforward RF Power Amplifiers Linearization Technology
    前馈式RF功率放大器的线性化技术
短句来源
    Investigation on Digital Adaptive Feedforward Linearization Technology
    数字自适应前馈功放线性化研究
短句来源
更多       
  前馈
    The theoretical analysis and experimental results show that using feedforward single-loop linearization technology can greatly improve the microwave power amplifier linearization to reduce the harmonic and intermodulation components.
    理论分析和实验表明,用前馈单环线性化技术对RF功率放大器进行线性化补偿,可以大大提高微波功率放大器的线性度,从而达到减小各谐波和互调分量的目的.
短句来源
    Microwave Feedforward Amplifier Technology
    微波前馈功率放大技术
短句来源
    Research on Adaptive Power Amplifier Feedforward Linear
    前馈自适应线性功率放大器研究
短句来源
    Feedforward RF Power Amplifiers Linearization Technology
    前馈式RF功率放大器的线性化技术
短句来源
    Investigation on Digital Adaptive Feedforward Linearization Technology
    数字自适应前馈功放线性化研究
短句来源
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  “feedforward”译为未确定词的双语例句
    Feedforward Neural Network Based GaAs Microwave and VHSIC CAD
    基于神经网络的GaAs微波及高速集成电路CAD技术
短句来源
    Variable structure control for MRAC systems with feedforward filter
    带前置滤波器的MRAC系统的变结构控制
短句来源
    Experimental results are reported for a CDMA IS-95 base station feedforward linearizing amplifier, which demonstrates a minimum of 23dB intermodulation distortion suppression when the amplifier's gain is 47 dB and continue wave output power is 60W.
    并用该结果指导设计了CDMAIS-95基站射频线性功率放大器,放大器增益47dB,连续波输出功率60W,在通频带内三阶交调改善了23dB。
短句来源
    THE DESIGN OF AMPLIFIERS WITH FEEDFORWARD AROUND MULTISTAGES —A WIDE-BAND OPERATIONAL AMPLIFIER
    直馈包围多级放大级的设计——宽频带运算放大器
短句来源
    Implementation of AC Fault Dictionary by Feed Forward Multilayer Neural Network
    故障诊断交流字典法的前向神经网络实现方法
短句来源
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  feedforward
Approximation capabilities of multilayer feedforward regular fuzzy neural networks
      
Four-layer feedforward regular fuzzy neural networks are constructed.
      
This includes feedback control algorithm and feedforward control algorithm.
      
The feedback controller improves system tracking performance and suppresses load and mechanical disturbance while the feedforward controller compensates phase hysteresis introduced by feedback control.
      
A method is presented for synthesis of optimal sampled-data tracking systems with two controllers, one of which is incorporated into the closed loop, while another is placed in feedforward chain.
      
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A fast electromagnetic deflection amplifier is essentially a wideband power amplifier. It is mainly used for driving the power stage of the magnetic deflection system in highspeed CRT display. The good performance of high stability is obtained by introducing a special feedforward to extend bandwidth. A yoke is designed based on a shunt-wound structure with multiple wire and in a non-sectionalized form without skeleton. In addition, the conjugate compensation is used to improve the display quality.

高速偏转放大器是一个宽带大功率放大器,主要用于高速图形显示器中的磁偏转系统。本放大器引入一种特殊的直馈,以有效地拉宽频带并保证放大器的稳定性能。偏转线圈采用多股并绕的非分段无骨架形式,同时采用共轭补偿,以改善图形显示质量。

This paper discusses the applicationer of the multilay feedforward neural network(MLFNN)to the equalization problem in digital communication and analyses the struc-tures,convergence characteristics and performance. The results from the com putersimulation indicate that the application of the neural net to the equalizer used in communi-cation is feasible,effective and excellent in performance.

神经网络具有大规模并行处理、自适应、自学习能力和非线性特征,已获得了广泛应用。本文将多层正馈神经网络(MLFNN)应用到数字通信中的均衡问题,讨论了MLFNN自适应均衡(AE)和判决回授均衡(DFE)的结构及其学习算法。通过计算机仿真研究了MLFNN组成的AE和DFE的性能以及系统收敛情况。初步结果表明,神经网络用于通信中的均衡器是可行的、有效的,性能是优良的。

This paper presents a new successive approximation nonlinear analog-to-digital converter (NADC) based on feedforward neural network. The NADC can be used for automatically realizing various complex nonlinear transfer characteristics often required in instrumentation and communications. We also demonstrate the NADC useful for the linearization of transducer output.

本文提出一种基于前向神经网络的逐次逼近式非线性A/D转换器。该转换器可以通过学习自动生成仪器仪表和通信系统中所需要的各种复杂的非线性转换特性。文中举例说明了这种非线性A/D转换器在传感器非线性校正中的应用。

 
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