HoshiKata用C#写的一个卡尔曼滤波实例代码，下面是原文描述： Kalman filters allow you to filter out noise and combine different measurements to compute an answer. They are a particularly powerful type of filter, and mathematically elegant. Without a matrix math package, they
"The subject of integrated navigation systems covered in this book is designed for those directly involved with the design, integration, and test and evaluation of navigation systems. It is assumed that the reader has a background in mathematics, in
R语言实现包括时间序列arima模型等内容，具体有Simple time series models， ARIMA， Wavelets， Digital Signal Processing (DSP) Modeling volatility， GARCH models (Generalized AutoRegressive Conditionnal Heteroscedasticity)， Multivariate time series， State-Space Models and Kal
