maximum likelihood sequence estimation

基本解釋

Delay and computational complexity are two problems to be solved when Maximum Likelihood Sequence Estimation(MLSE)is used in wireless communication system.
無線通信中應(yīng)用最大似然序列估計，其時延和計算復(fù)雜度是必須解決的兩個問題。
By simplifying the objective function of maximum likelihood estimation, the algorithm can realize sequence synchronization and sequence estimation via adaptive iteration and wide window.
通過簡化最大似然估計目標(biāo)函數(shù)，提出了用自適應(yīng)迭代法并結(jié)合寬窗口法來實現(xiàn)序列同步和序列估計。
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.
本文基于辨識 ARMA新息模型生成估計殘差序列，再對殘差序列的平均值和無偏方差進(jìn)行假設(shè)檢驗，可實現(xiàn)工序質(zhì)量的異常診斷。