ID 原文 译文
15335 最后按照模拟时钟将串行LVDS数据反序列化,从而达到板载时钟代替LVDS随路时钟的目的,以此实现基于FPGA无随路时钟的LVDS高速传输。 Finally, following the analog clock, the serial LVDS data is deserialized, so as to achieve the purpose of replacing the LVDS accompanying clock with the onboard clock,so as to achieve high-speed LVDS transmission based on FPGA without accompanying clock.
15336 试验表明,该系统能够可靠、有效工作,具备一定工程实用价值。 Tests show that the system can work reliably and effectively, and has certain engineering practical value.
15337 针对正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)和基于滤波器组的多载波(Filter Bankbased Multicarrier, FBMC)的调制识别进行研究。 This paper focuses on the modulation recognition of orthogonal frequency division multiplexing( OFDM) and filter bank-based multicarrier( FBMC).
15338 首先分析OFDM/FBMC子载波的二次方谱； Firstly, the quadratic spectrum of subcarrier signals is analyzed for OFDM and FBMC.
15339 接着通过建模得到各信号所对应的二次方谱表达式,得到各谱线的强度及位置； Then, the corresponding quadratic spectrum expression is gotten through modeling, and the intensity and position of each spectrum are gotten.
15340 最后设置特征参数,在高斯噪声下完成OFDM/FBMC的调制识别。 Fi-nally, seting the characteristic parameters, the modulation identification of OFDM/FBMC is accomplished under Gaussian noise.
15341 仿真结果表明,在较低信噪比下信号识别率仍较高。 The simulation results show that the signal recognition rate is still higher at a lower SNR.
15342 轴承故障分析在滚动传动系统中一直是研究的热点,传统的轴承故障诊断方法往往建立在苛刻的约束条件之上,如检测信号为单一的故障信号成分、既定的混合系统保持不变或者模型建立在无噪声的环境等。 Bearing fault analysis has been a research focus in rolling transmission system. However, the traditional bearing fault di-agnosis technology is usually based on strict constraints, such as the detection signal is a single fault signal component, the estab-lished hybrid system remains unchanged, and the model is established in noise free situation.
15343 针对这些局限,结合了独立成分分析(Independent Component Analysis,ICA)方法,提出了一种基于特征矩阵联合相似对角化及经验模态分解(Joint Approximative Diagonalization of Eigen matrix-Empirical Mode Decomposition,JADE-EMD)的多故障动态盲分析技术。 Aiming at the limitation of this prob-lem, combined with the independent component analysis( ICA) method, this study proposes a multi fault dynamic blind analysis method based on joint approximate diagonalization of eigenmatrix empirical mode decision(JADE-EMD).
15344 该方法的基本思想是基于多输入多输出的动态混合模型,利用四阶统计量对随机噪声的盲辨识特性,将滚动轴承正常工作时的平稳随机噪声看成一类常规的信号输入。 The basic idea of this method is based on the dynamic transmission system with multi input and multi output.