序列估计 meaning in Chinese
sequential estimation
Examples
- 3 . comparing several adaptive equalizers and using the combined dfe / mlse equalizer based on predicted signal to compensate the rss channel . simulation results suggest that the dfe / mlse is greater than dfe and le in performance and is simpler than mlse - va in complexity
3 .比较了几种自适应均衡器的优缺点,提出采用基于预测信号的自适应组合判决反馈均衡器/最大似然序列估计器( dfe / mlse )来补偿再入遥测信道。 - This paper focuses on the blind code synchronization approach and spreading sequences estimation algorithm . the main results can be summarized as follows : 1 . both synchronous and asynchronous dsss / bpsk baseband signal models are established
本文重点是对盲码同步和扩频码序列估计的研究,主要的工作成果如下: 1 、分同步和非同步两种情况建立了dsss / bpsk基带信号模型,并介绍了二种非合作式扩频码序列估计和解扩的方案。 - This article proposes two solutions to the question , one of which is the combination of the space - time mmse receiver and the decorrelating multiuser detector , another of which is the combination of the space - time mlse receiver and the decision - feedback detector
本文提出了两种方案：一种是空时最小均方误差( mmse )接收机与解相关多用户检测器相结合；另一种是空时最大似然序列估计( mlse )接收机与判决反馈检测器相结合。 - 4 . the spreading sequences estimation algorithms based on linear feedback shift register ( lfsr ) , matrix eigenvalue decomposition ( evd ) , neural networks ( nn ) have been systematically studied in this paper . and the performance of these algorithms is analyzed by many simulations
4 、系统地研究了现有的扩频码序列估计算法,介绍了它们的理论基础,重点推导和证明了基于线性反馈移位寄存器( lfsr ) 、特征值分解( evd ) 、神经网络( nn )的pn码序列估计算法,并对这些算法进行了仿真验证,分析了它们的优缺点。 - Some related res ults have been acquired after comparing these cdf with the theoretical capacity . in the fourth chapter , it was at first estimated all the channel coefficients by maximum likelihood estimation and minimum mean square error estimation method on the basis of the construction of the transmission frame and the mathematical model for the wireless mtmo system of channel estimation with training sequence
第四章首先基于训练序列估计的无线mimo传输帧结构和数学模型，分别使用最小均方误差估计法和最大似然估计法估计出了信道的各个系数，在小信噪比和大信噪比时，比较了两种估计方法的估计误差的方差。