random signals
英 [ˈrændəm ˈsɪɡnəlz]
美 [ˈrændəm ˈsɪɡnəlz]
网络 随机信号; 功率谱分析; 杂乱信号
双语例句
- Based on independent component analysis ( ICA) algorithm, this paper analyzes and processes the random signals and real radar signals successively, which is designed to increasing the number of individual samples and get the sounding data of the same precision in less scanning time.
基于时间结构的独立成分分析法（ICA），先后对随机信号和实际雷达信号进行了独立成分分析处理，以增加独立样本数。旨在以更少的扫描时间，得到相同精度的探测数据。 - It is required to analyze random signals in treating many Stochastic vibration problems.
对随机信号的分析是研究、处理各种随机振动问题的必要步骤。 - The simulation testing of random signals suggests that the method is effective for signal source identification.
随机信号的仿真试验说明，基于相干函数分析的振动信号源识别方法对信号源的识别具有满意的效果。 - However, with the intensive study of random signals and noises, people are not satisfied with the status quo. Frequency estimation based on higher-order moments and fractional-order moments gradually becomes a new concern.
然而，随着随机信号和噪声的研究深入，人们不满足现状，基于高阶矩和分数阶矩的频率估计逐渐成为新的研究热潮。 - Impact Response and Response of Random Signals
冲击响应和任意信号的响应 - In this paper, a mathematical model is used to characterize this random signals, and a time averaging method is used for obtaining the ultrasonic attenuation coefficient.
本文提供了一种用于识别这类随机信号的数学统计模型，并介绍了一种时间平均法用来获取超声背散射信号的衰减系数。 - An algorithm property analysis for time varying parameters estimation of nonstationary random signals model
一种非平稳随机信号模型的时变参数估计算法性能研究 - Based on correlation filtering, the identification principle using random signals is investigated. The method can eliminate output steady disturbance, random disturbance and abrupt disturbance.
研究了用伪随机信号进行系统辨识的相关滤波原理，讨论了消除系统输出端稳态输出干扰、随机干扰及突变干扰的原理和逆重复伪随机信号参数的选择依据。 - The correlation method and FFT method of the power spectrum estimation could not completely reflect the concept of the power spectrum of the non-stationary random signals because of data truncation.
对于非平稳随机信号的功率谱分析，采用自相关函数傅里叶变换和直接傅里叶变换分析时，由于存在数据截断，二者从概念上都不能很好地反映随机信号的功率谱。 - The correlation analysis indicated that the pressure fluctuation signals exist between periodic signals and random signals.
自相关性分析表明压力波动信号具有长期相关性，且处在周期信号与随机信号之间。