| 1. | The reason of high to middle frequency error is analysis 分析了中高频误差的成因。 |
| 2. | Maximum likelihood frequency error estimation based on cordic 算法的最大似然频差估计 |
| 3. | Inherent frequency error 固有频差 |
| 4. | Especially forgetting factor ecab has excellent performance under large cyclic frequency error 特别是遗忘因子ecab算法,在循环频率误差较大的情况下,仍能保持很好的性能。 |
| 5. | Exploiting the cyclostationarity of ofdm signals in multipath environment , we further introduce an ofdm coarse frequency error estimator and an ofdm fine synchronizer 利用接收信号的循环平稳性,结合信道响应提出了一种ofdm频偏粗估计器和一种ofdm定时偏差和频偏精估计器。 |
| 6. | The coarse frequency error estimator has a wide estimation range and may be used for initial caption . and the fine estimator can achieve nice performance in multipath environment 该粗估计器有很大的估计范围,可用于频偏的捕获;而精估计器在多径环境下能得到很好的估计效果。 |
| 7. | Simulation experiments show that the pitch extracting results of the algorithm are superior to that of the conventional algorithms , overcoming the random errors and multiple or half frequency errors , especially robust at low snr 仿真实验表明,该算法与传统方法相比其基音检测结果有明显的改善,克服了随机错误及倍频、半频错误,并且在低信噪比下鲁棒性较好。 |
| 8. | It not only considers the effect of frequency error and data modulation , but also realizes code synchronization and frame synchronization at the same time . all these research work will give a valuable reference to the design of the new communication systems 本文对扩频通信系统构成和原理,扩频序列设计与优选,扩频序列同步问题进行了研究,并进行了相应的仿真。 |
| 9. | A normal co - axis he - ne laser tube with bore length l = 190 mm was used . with pid and self - organised fuzzy control , the frequency error could be confined to a 10 ~ 9 level . in addition , preheating time and anti - interference were within requirements 选用腔长l = 190mm的普通同轴式he一e激光管,采用pid和自组织模糊控制模式可达到10一的稳频精度效果,并满足预热时间和抗干扰要求。 |
| 10. | 5 . a multivariable process identification based on asymptotic black - box theory is studied . firstly , a high - order mimo arx model and its frequency error bound is estimated from identification data and low - order siso models is obtained from high - order mimo arx model 作者对一种基于渐近黑箱理论的多变量过程辨识方法进行了研究:首先用高阶arx模型估计模型参数,并给出高阶模型的频域均方误差;然后,对高阶arx模型进行降阶处理。 |