The chernoff upperbound of the pairwise error probability(PEP) and the code design criteria are derived by means of the generalized likelihood-ratio test(GLRT) decoding algorithm.
利用广义似然比检验(GLRT)解码算法,导出了成对符号错误概率(PEP)上限和码的设计准则。
2
Based on stochastic process theory, the bounded convergence of forgetting factor least square algorithm (FFLS for short) is studied and the upperbound of the parameter tracking error is given.
利用随机过程理论研究了遗忘因子最小二乘法(FFLS)的有界收敛性,给出了参数估计误差的上界。
3
Usually, the steepest descent algorithm is used to find the minimum of LOO upper-bound. However, it often gets local optimal solution.