MLSE:最大似然序列估计
最大似然序列估计(Maximum Likelihood Sequence Estimation,常缩写为MLSE)是一种常用的信号检测与估计算法,广泛应用于通信、信号处理等综合领域。MLSE的核心思想是通过最大化接收序列的似然函数,以估计最有可能的发送符号序列,从而提高系统的检测性能与抗干扰能力。该缩写形式便于在学术文献与技术文档中简洁、高效地书写与交流。
Maximum Likelihood Sequence Estimation具体释义
Maximum Likelihood Sequence Estimation的英文发音
例句
- Delay and computational complexity are two problems to be solved when Maximum Likelihood Sequence Estimation(MLSE) ( MLSE ) is used in wireless communication system.
- 无线通信中应用最大似然序列估计(MLSE),其时延和计算复杂度是必须解决的两个问题。
- In the paper, the blind equalization based on signal detection theory is studied. Its content is rich, from principle, it can divide into four aspects such as maximum likelihood sequence estimation, minimum error probability estimation, Bayesian estimation and maximum a posterior probability estimation.
- 它的研究内容丰富,本文研究了基于信号检测理论的盲均衡算法,该算法从原理上分为基于最大似然序列估计(MLSE)、最小错误概率估计、贝叶斯估计、最大后验概率估计四种盲均衡算法。
- The Maximum Likelihood Sequence Estimation(MLSE) ( 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)(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。
- Blind Maximum Likelihood Sequence Estimation(MLSE) with Decision Feedback
- 带判决反馈的盲最大似然序列估计(MLSE)
- An adaptive reduced-state maximum likelihood sequence estimation ( MLSE ) based on the principle of per-survivor processing ( PSP ) is proposed on channels with intersymbol interference ( ISI ).
- 本文提出了一种基于逐幸存路径处理(PSP)的自适应减少状态的最大似然序列估计(MLSE)算法(MLSE)。
本站英语缩略词为个人收集整理,可供非商业用途的复制、使用及分享,但严禁任何形式的采集或批量盗用
若MLSE词条信息存在错误、不当之处或涉及侵权,请及时联系我们处理:675289112@qq.com。