The identifiability problem is proved and curve fitting is exploited to simplify the proposed algorithm. Furthermore, the theoretical mean and mean square error (MSE) of the proposed algorithm is derived.2.
证明了算法的可分辨性问题,在此基础上利用曲线拟合设计了简化的搜索方法,然后理论推导了算法估计的均值和均方差。
参考来源 - OFDM宽带无线基带接收机中的同步算法研究Simulation results show that as compared with original FTLMS algorithm, improved variable tap-length algorithms perform better in convergence rate, steady state mean square error and avoidance of the suboptimum problem.
仿真结果表明,与原FTLMS算法相比,改进后的算法分别在阶数收敛速度,稳态误差及避免算法陷入局部最优解三个方面具备更好的性能。
参考来源 - LMS自适应滤波算法的收敛性能研究与应用Experiment shows that acutance function method is better than mean square error function method. The error factors are analyzed and corresponding improvement approaches are put forward.
实验结果表明在该系统中锐度函数法作判据的效果要优于均方差函数法,最后分析误差因素并提出修正途径。
参考来源 - 数字式光学传递函数测量的自动对焦技术·2,447,543篇论文数据，部分数据来源于NoteExpress
The results of the test data indicate that the prediction system is reliable and the root of mean square error is about 15%.
对测试数据的预测结果表明，该预测系统能够可靠工作，预测结果的均方根误差在15%左右。
However, two-stage estimates of regression coefficients corresponding to these two estimates have approximate equal mean square error.
对应于方差参数这两种估计的回归系数的两种两步估计，它们的均方误差大致相当。
In comparison with traditional LMS algorithm, WO-LMS algorithm can achieve both lower steady mean square error and faster convergence speed.
与传统的LMS算法相比，WO - LMS算法既提高了收敛速度又可以得到较低的稳态均方误差。
应用推荐