System Analysis and Optimization for Random Dynamic Signals

Nowadays big data analysis is one of the most demanding frontier technologies. This article develops the information flow research from the regular information space to the wider information measuring space based on the multi-dimension, multi-angle random dynamic information flow research. In stochastic dynamic delivery system, it estimates A kind of general stable multi-dimensional measurable process. The article investigates a lot of precious information in great generalized process. Thus, it makes the optimal estimation of random signals and the optimal recursive filtering equation under this process. Therefore, it presents an efficient mathematic method and a consistent theoretical foundation for more extensive research has been conducted to improve the efficiency of information transmission systems and optimize their management. Because the system analysis of stochastic dynamic signals has strong global search ability and popularization adaptability, the new intelligent optimization algorithm proposed in this paper is becoming one of the most active research directions in intelligence science, information science and artificial intelligence, and has been rapidly popularized and applied in many engineering fields.