非标准杂音分析

摘要：

由于P.Cartier和Y. Perrin，一个适当的数学框架，推导出新的非渐近估计技术，不需要任何统计分析的噪声破坏任何传感器。各种应用推导出乘性噪声，参数估计窗口的长度，和突发错误。

英文摘要：

Thanks to the nonstandard formalization of fast oscillating functions, due to P. Cartier and Y. Perrin, an appropriate mathematical framework is derived for new non-asymptotic estimation techniques, which do not necessitate any statistical analysis of the noises corrupting any sensor. Various applications are deduced for multiplicative noises, for the length of the parametric estimation windows, and for burst errors.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。