Robust conditions of generalized filtering algorithms in relation to statistics of useful and false observations

Sirota A. A.

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Robust conditions of generalized filtering algorithms in relation to statistics of useful and false observations

机译：广义滤波算法与有用和错误观测的统计有关的鲁棒条件

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The algorithm of optimal linear filtering has been developed. It is intended for processing observations received by primary system sensors of collection and information processing, when there are streams of false or interfering signals on the systems input. The robust conditions of the filter in relation to statistical parameters of the useful and false information, acting from primary sensors, are obtained.

机译：已经开发出最佳线性滤波算法。当系统输入上存在错误或干扰信号流时，它旨在处理由主要系统传感器进行收集和信息处理所接收到的观察结果。获得了与主要传感器作用的有用和错误信息的统计参数有关的过滤器的鲁棒条件。

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《Радиотехника》 |2001年第8期|共5页
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Sirota A. A.;
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1. Robust conditions of generalized filtering algorithms in relation to statistics of useful and false observations [J] . Sirota A. A. Радиотехника . 2001,第8期

机译：广义滤波算法与有用和错误观测的统计有关的鲁棒条件
2. Generalized maximum correntropy algorithm with affine projection for robust filtering under impulsive-noise environments [J] . Ji Zhao, Hongbin Zhang, J. Andrew Zhang Signal processing . 2020,第Jula期

机译：仿射投影的广义最大熵算法在脉冲噪声环境下的鲁棒滤波
3. Improved and generalized learning strategies for dynamically fast and statistically robust evolutionary algorithms [J] . Yogesh Dashora, Sanjeev Kumar, Nagesh Shukla, Engineering Applications of Artificial Intelligence . 2008,第4期

机译：动态快速且统计上稳定的进化算法的改进和广义学习策略
4. Performance Analysis of Adaptive Filters based on Robust Second Order Generalized Integrator under Adverse Grid Condition [C] . Banishree Misra, Byamakesh Nayak International Conference on Recent Innovations in Electrical, Electronics and Communication Engineering . 2018

机译：逆网格条件下基于鲁棒二阶广义积分器的自适应滤波器性能分析
5. Improved Robust Adaptive-Filtering Algorithms. [D] . Bhotto, Md. Zulfiquar Ali. 2012

机译：改进的鲁棒自适应滤波算法。
6. Comparison of the ultra-low-dose Veo algorithm with the gold standard filtered back projection for detecting pulmonary asbestos-related conditions: a clinical observational study [O] . Marielle Tekath, Frédéric Dutheil, Romain Bellini, 2014

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7. Improved and generalized learning strategies for dynamically fast and statistically robust evolutionary algorithms [O] . Dashora, Yogesh, Kumar, Sanjeev, Shukla, Nagesh, 2008

机译：动态快速且统计上稳定的进化算法的改进和广义学习策略
8. Initial-Condition Robustness of Linear Least Squares Filtering Algorithms. [R] . Aasnaes, H. B., Kailath, T. 1972

机译：线性最小二乘滤波算法的初始条件鲁棒性。

Robust conditions of generalized filtering algorithms in relation to statistics of useful and false observations

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