采用时间序列分析理论,利用实际测量的数据,建立了液浮陀螺随机漂移的ARMA模型。最终,为便于将模型应用于卡尔曼滤波器中,本文给出了一种实际可行的液浮陀螺漂移模型 -Using time series analysis theory, the use of actual measurement data, the establishment of a liquid floating gyro random drift of the ARMA model. Ultimately, in orde

jmsla collection of mathematical, statistical and charting classes, written in 100 Java, marketed by Visual Numeric, Inc. Includes linear algebra, zero finding, splines, ordinary differential equations, linear programming, nonlinear optimization, FFT

基于辨识ARMA模型的野值剔除方法与卡尔曼滤波修正算法-ARMA model identification methods and eliminate outlier correction algorithm based on Kalman filter