Secondly, The ML algorithm based on CP in being and its tracking performance are analyzed.
分析了现有的基于循环前缀的最大似然估计算法及其对频偏估计的跟踪。
While the MAP algorithm offers better performance than the ML algorithm, the computation is complex and not suitable for hardware implementation.
在相同条件下，最大后验概率译码算法比最大似然译码算法有更低误比特率，但由于计算量和复杂度过大而不适合硬件实现。
These two algorithms relax the constraints of ML algorithm and transform it into a convex problem which can be efficiently solved with a polynomial time.
这两类算法是在ML算法基础上放松约束条件，将问题转化为可在多项式时间内解决的凸优化问题。
The result presents that when LAS-CDMA system using 16QAM modulation under AWGN channel, the error probability of sphere decoding goes to theory error probability of ML algorithm.
介绍了球译码算法的工作原理，给出了算法流程；研究结果表明AWGN信道下LAS-CDMA系统使用16QAM调制时，球译码算法差错率趋近于使用基于ML算法的理论差错概率。
A modified MMSE-ML algorithm is proposed, by finding the second probable constellation symbol position after MMSE-ML search, and then applying the ML search on these two positions.
提出了一种改进的MMSE -ML算法，在一阶MMSE - ML搜索的中间结果中找出次最可能的星座符号位置，进而在这两个位置上做ML搜索。
Results of simulation and analysis show that, in comparison with ML algorithm it is of better synchronization performance, and its performance is considerably raised especially in multipath channels.
仿真结果表明，与ML算法相比，该算法大大提高了系统的同步性能，尤其是在多径信道中的性能得到了很大提高。
A near maximum-likelihood (ML) multiuser detection algorithm based on unconstrained optimization approach is proposed for code-division multiple access (CDMA) systems.
针对码分多址(CDMA)系统提出了一种基于无约束最优化的近最大似然多用户检测算法。
A frequency domain adaptive maximum likelihood (ML) time delay estimation algorithm based on squared coherence function is proposed.
提出了一种基于平方相干函数的频域自适应最大似然时延估计算法。
Discrete Wavelet Packet Modulation (DWPM) System based on ML (Maximum Likelihood) algorithm and Optimum Pilot Symbol Assisted Modulation (OPSAM) is studied for Rayleigh Fading Channels.
提出了一种基于导频信号和最大似然信道估计算法的离散小波包调制(DWPM)系统。
EM algorithm has become one of the methods of choice for ML estimation.
EM算法是一种很有效的最大似然估计方法。
We calculate the ML estimation via the EM algorithm, and derive its iteration equations, which gives a closed-form solution for parameters.
我们基于EM算法来计算参数的ML估计，推导了对应的参数迭代方程，给出了参数的一个闭式解。
Based on the temporal-spatial sequential Maximum Likelihood (ML) algorithm, a new algorithm for estimating the elevation Angle of a target in radar low-angle tracking environment is presented.
在时空级联最大似然算法的基础上，本文结合雷达低角跟踪的特点，提出一种新的目标仰角估计算法。
Based on the temporal-spatial sequential Maximum Likelihood (ML) algorithm, a new algorithm for estimating the elevation Angle of a target in radar low-angle tracking environment is presented.
在时空级联最大似然算法的基础上，本文结合雷达低角跟踪的特点，提出一种新的目标仰角估计算法。
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