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Modern-Adjustment
- 近代平差,包括:序贯平差、最小二乘配置、抗差估计、卡尔曼滤波、粗差探测、参数加权平差、相关抗差估计-Modern adjustment, including: sequential adjustment, least square configuration, robust estimation, Kalman filtering, gross error detection, parameter weighting adjustment, related to robust estimatio
FFRLS
- 开环系统参数辨识,带遗忘因子的递推最小二乘估计法(FFRLS),系统为单入单出的CAR(带控制量的自回归模型)模型,三阶系统-Open-loop system parameter identification, recursive least squares estimation method with forgetting factor (FFRLS), SISO system of CAR (with a controlled amount of autoregressive model)
Linear-prediction
- (1)掌握线性预测分析的基本原理。 (2)掌握线性预测误差滤波器参数与语音信号声道模型参数之间的关系。 (3)熟练掌握线性预测分析的自相关方法和Levinson-Durbin递推算法。 (4)熟悉语音信号的LPA谱估计方法-1) master the basic principles of linear predictive analysis. (2) to master the linear prediction error filter parameters and voic