Discrete Stochastic Processes and Optimal Filtering pdf epub mobi txt 电子书 下载 2025
- 随机过程
- 最优滤波
- 离散时间
- 概率论
- 随机分析
- 马尔可夫链
- 贝叶斯估计
- 信号处理
- 控制理论
- 排队论
具体描述
Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from the extraction of noise signals. Moreover, it is a fundamental feature in a range of applications, such as in navigation in aerospace and aeronautics, filter processing in the telecommunications industry, etc. This book provides a comprehensive overview of this area, discussing random and Gaussian vectors, outlining the results necessary for the creation of Wiener and adaptive filters used for stationary signals, as well as examining Kalman filters which are used in relation to non-stationary signals. Exercises with solutions feature in each chapter to demonstrate the practical application of these ideas using Matlab.
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