The paper deals with the extension of the RELAX algorithm from data domain to correlation domain and provides the iterative formulas of the algorithm in correlation domain.
将RELAX（对系统误差和环境加性噪声分布假设可松弛）算法从数据域推广到相关域，建立了该算法在相关域的迭代公式；
In this paper, the first order approximate model of Doppler frequency is assumed, and an algorithm based on the extended RELAX method is proposed to estimate the parameters of chirp signals.
该文采用上述情形的多普勒频率的分段一阶近似模型，在此基础上，提出一种基于推广RELAX算法的线性调频信号参量估计方法。
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 problem of robustness in the estimation algorithm is solved by applying relax iterative search algorithm (RSA) to motion estimation of MPEG4 model based coding.
将自适应迭代松弛搜索算法RSA引入到MPEG4模型基编码的三维运动参数估计中 ，解决了估计算法的稳健性问题 。
The problem of robustness in the estimation algorithm is solved by applying relax iterative search algorithm (RSA) to motion estimation of MPEG4 model based coding.
将自适应迭代松弛搜索算法RSA引入到MPEG4模型基编码的三维运动参数估计中 ，解决了估计算法的稳健性问题 。
应用推荐