摘要
提出了基于隐马尔可夫模型（ＨＭＭ）的多频率线跟踪算法的若干改进措施，着重于减少计算复杂性、提高算法的实时性，其中包括减少信号幅值实时估计的计算量和减少双频率线跟踪算法的计算量．
In this paper some effective measures to improve the hidden Markov model based multiple frequency line tracking algorithms are proposed. Aiming at the practical utility, these measures include a simple way to estimate the amplitude of the sinusoidal signal and a way to reduce the computational burden of the tracking algorithms. All of these are supported by simulations.
出处
《信息与控制》
CSCD
北大核心
1997年第6期431-436,共6页
Information and Control
基金
国家自然科学基金
关键词
频率线跟踪
隐马尔可夫模型
参数估计
算法
frequency line tracking, hidden Markov Models, parameter estimation, SNR threshold, computational complexity
