F = 0.8, only the most recent 25 or so data points contribute to the final result, since all older data points are essentially weighted out of the solution. 1.0 F = ~ (equally weighted) 0.9 ! F=0.J9 I 0.8 --.: ! I ···········;··························· 0.7 --········-----···-- .... - ...i:!: 0.6 ···· -• -1- + ! - -- u.. .c C) 0.5 ........ =0.9! 5 ............ i .......................... J ...........................+········-- ·a5 ~ 0.99 i I ca 0.4 ..... ...........................:....... ' ............................ ~............................ ca Cl 0.3 . ..... 1 /.-····---; i -- 0.2 -----i·········· -1.................. +o.s 0.1 .......... , I 0.0 0 50 100 150 200 250 300 Data Index (older->) Figure 35. Exponential Weights for Fading-Memory Filters For the exponentially-weighted fading-memory filter, it can be shown that the recursive filter factor used in Eq. (12) is 1-F a=-- (20) n 1-Fn Since OS F S 1, an in Eq. (20) does not approach zero as n approaches infinity (as the other two filters do), but instead approaches the value (1 - F). If F = 0, then an= 1 for all n, the filter has no memory at all, and the filtered value always equals the last measurement. In the limit as F approaches one, L'Hospital' s rule can be applied to 9/10/96 93 RTI
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Vision Description (EN)
This page contains a technical graph titled 'Figure 35. Exponential Weights for Fading-Memory Filters' which plots 'Data Weight (F^n-1)' against 'Data Index (older ->)'. Below the graph, there is explanatory text regarding exponentially-weighted fading-memory filters and a mathematical formula for the recursive filter factor 'a_n'. The document is fully legible with no redactions or classification markings present.
Descrição Vision (PT-BR)
Esta página contém um gráfico técnico intitulado 'Figure 35. Exponential Weights for Fading-Memory Filters' que plota 'Data Weight (F^n-1)' contra 'Data Index (older ->)'. Abaixo do gráfico, há um texto explicativo sobre filtros de memória desvanecida ponderados exponencialmente e uma fórmula matemática para o fator de filtro recursivo 'a_n'. O documento está totalmente legível, sem rasuras ou marcações de classificação presentes.