The filtering methods based on information fusion estimation in linear or nonlinear systems was presented for the filtering problem in discrete dynamic stochastic system.
针对离散随机动态系统的滤波问题，提出了基于信息融合估计的线性和非线性滤波方法。
This technology can provide a very low determination limit, a very wide range of dynamic linear, simple lines, less interference, high-precision and fast analysis and isotopic information, and so on.
该技术提供了极低的检出限、极宽的动态线性范围、谱线简单、干扰少、分析精密度高、分析速度快以及可提供同位素信息等分析特性。
This technology can provide a very low determination limit, a very wide range of dynamic linear, simple lines, less interference, high-precision and fast analysis and isotopic information, and so on.
该技术提供了极低的检出限、极宽的动态线性范围、谱线简单、干扰少、分析精密度高、分析速度快以及可提供同位素信息等分析特性。
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