A bearing sequence estimation technique based on adaptive phase-difference estimator is presented in this paper.
本文提出一种基于自适应相位差计的方位序列估计技术。
Delay and computational complexity are two problems to be solved when Maximum Likelihood Sequence Estimation (MLSE) is used in wireless communication system.
无线通信中应用最大似然序列估计，其时延和计算复杂度是必须解决的两个问题。
By simplifying the objective function of maximum likelihood estimation, the algorithm can realize sequence synchronization and sequence estimation via adaptive iteration and wide window.
通过简化最大似然估计目标函数，提出了用自适应迭代法并结合宽窗口法来实现序列同步和序列估计。
The Maximum Likelihood Sequence Estimation (MLSE) using the Viterbi Algorithm (VA) is commonly recommended for the equalization, which can only accommodate the channels with limited time delay spread.
常用的最大似然序列估计(MLSE)均衡器采用维特比算法(VA)，它只能用于具有较小时延扩展的信道。
The three-step search method is a commonly used fast motion estimation algorithm, but its initial step length is too big, thus the estimation effect of slow motion sequence is not so satisfactory.
三步搜索法是一种常用的快速运动估计算法，但由于它的初始步长太大而导致对缓慢运动序列的估计效果不能令人满意。
Then an improved proposal for the channel estimation using spread sequence was imposed.
在此基础上，改进了基于扩频序列的信道估计方法。
Modified MIMO channel estimation algorithm based on superimposed training sequence was proposed for the frequency selective channel.
针对提高无线信道的传输性能，提出了改进的基于叠加训练序列的MIMO信道估计算法。
The compression of medical image series is very important in telemedicine. The motion estimation plays a key role in the video sequence compression.
医学图像序列压缩是远程医疗系统中的重要技术，而运动估计在视频序列压缩中起着关键作用。
Now, a general solution is that combining STC with OFDM, but it is supposed that the channel changes slowly, so there is enough time to transmit the training sequence for channel estimation.
目前，一种普遍的解决方法是将空时码与正交频分复用（OFDM）相结合，但需要假定信道变化缓慢，从而有足够的时间通过发送训练序列来进行信道估计。
For integer frequency offset estimation, we analyze a sequence auto-correlation based algorithm, and extend the algorithm into frequency selective channel case.
对于整数频偏估计，分析了一种基于序列自相关的算法，并将该算法推广应用到频率选择性信道中；
This algorithm utilizes inherent correlation property of two segments of information sequence to carry out accurate symbol timing estimation.
该算法利用经过特殊处理的前后两段信息序列的内在相关性进行准确的符号定时估计。
But for case of measured correlation sequence the whole sequence may be used to reduce the effect of error on model parameter estimation.
但是对实测的相关序列，我们可以利用相关序列的全部来减小误差对参数估计的影响。
This paper considers the problem of blind symbol rate estimation of signals linearly modulated by a sequence of unknown symbols.
本文阐述了未知符号序列经线性调制后，在接收端利用循环相关理论对符号速率进行盲估计的问题。
An image representation method based on arbitrary shaped regions is proposed in this paper, and the motion estimation of the image sequence is executed according to this representation.
文中提出一种任意形状区域的图像描述方法，并根据该方法进行图像序列的运动估计。
The training sequence of channel estimation in frequency domain should have flat spectrum, which can estimate channel fast and exactly.
作为频域信道估计的训练序列要求具有平坦的频谱特性，可以快速准确地对信道进行估计。
At the same time, the channel estimation error, caused by the spectral leakage of DFT, can be reduced by canceling the auto-correlation error of the time-domain sequence of frequency-domain pilots.
同时，通过消除频域导频时域序列的自相关误差，能有效降低由DFT谱泄漏导致的信道估计误差。
An initial condition estimation algorithm for global coupled map lattice systems based on the symbolic sequence is proposed.
在符号动力学的基础上，提出了全局耦合映像格子系统的初始状态估计算法。
Non-iterative method for capturing parameters of the predistorter was realized by the means of linear increasing periodic training sequence and distortion estimation algorithm.
通过引入线性增长的周期性训练序列和失真检测算法，实现了预失真器非迭代方法的参数捕获。
Especially in the transmitting antenna correlated parameter unknown circumstances, an innovational channel estimation algorithm which takes use of the long & shot training sequence is proposed.
尤其在发射天线相关参数未知情况下，本文创新性地提出了一种利用长训练序列和短训练序列进行联合信道估计的算法。
A new method of blind estimation for short-code chaotic spread spectrum sequence is proposed, which is based on principal component analysis (PCA) and has good performance at low SNR condition.
针对短码实值混沌直扩系统，提出了一种基于主元分析的算法，实现了在低信噪比下对直扩序列的盲估计。
The invention discloses a processing method for performing heart movement and material characteristic combined estimation according to the heart movement sequence image.
本发明公开了一种根据心脏运动序列图像进行心脏运动和材料特性联合估计的处理方法。
This paper considers the problem of blind symbol rate estimation of signals linearly modulated by a sequence of unknown symbols.
本文认为线性调制的信号由一个序列的未知符号盲符号率估计的问题。
At first, from the traditional channel estimation strategy using training sequence, a novel channel estimation method, which is based on reconstructed observed signal sequence is proposed.
首先，本文针对静止信道条件下或信道缓慢变化条件，在传统的基于训练序列的信道估计算法基础上，提出了一种基于重构观测样本的信道估计方法。
For head pose estimation plays an important role in human machine interface, the authors propose an approach to estimate 3D head pose from a monocular sequence.
头部姿势估计在人机交互中有着重要的意义，为此提出了一种在单目图像序列中估计三维头部姿势的方法。
Then basing on the LS estimation, the paper researches the best design methods of the training sequence including the orthogonal training and shift orthogonal training sequences.
然后重点研究LS估计下的最优训练序列设计方法，包括正交训练序列设计和移相正交训练序列设计。
Based on joint time and frequency offset estimation, a reliable signal detection scheme is obtained by modulated pilot symbols using an m-sequence.
方案利用时频联合估计来得到可靠的信号检测，并从导频符号估计时间和频率偏移。
In this paper, a method of process quality diagnosis using hypothesis testing for residual sequence of ARMA innovation model estimation error by recursive maximum likelihood method was studied.
本文基于辨识 ARMA新息模型生成估计残差序列 ，再对残差序列的平均值和无偏方差进行假设检验 ，可实现工序质量的异常诊断。
Generally, it is not easy to find the exact tail-estimation for the distribution of the minimum value in partial sum sequence of a stationary ergodic Markov chain.
一般情况下对平稳遍历马尔可夫链部分和序列最小值分布进行精确尾估计是较困难的。
Conclusion As an objective indication, the time sequence regularity of GDNF after brain injury may be applied in brain injury time estimation.
结论GDNF在脑损伤后的时序性变化规律使其有可能成为一种脑损伤时间推断的客观指标。
Conclusion As an objective indication, the time sequence regularity of GDNF after brain injury may be applied in brain injury time estimation.
结论GDNF在脑损伤后的时序性变化规律使其有可能成为一种脑损伤时间推断的客观指标。
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