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Annual Report 2000 - WIT

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266<br />

The formulation has for basis expressing the response of any system by an ordinary<br />

differential equation of order µáD©<br />

ãâ Ô–<br />

è (10)<br />

Ô–<br />

Ô–<br />

– <br />

6 -<br />

É<br />

î <br />

ý‚ä<br />

ý5© -<br />

The transformation to the state <br />

Ô– Ô–<br />

variable å and is by substituting the higher<br />

derivatives of —– . The resulting dynamic ø state equation in the general â (continuous,<br />

time-variant) compact form are:<br />

—–<br />

—–<br />

—–<br />

x —–<br />

Ô–<br />

(system)<br />

<br />

(11)<br />

(output)è (12)<br />

ý’æ<br />

—–<br />

â —–<br />

—–<br />

—–<br />

Ô–<br />

—–<br />

úèç<br />

únç<br />

—–<br />

, Ô– and —– are matrices with variable elements in – Ô–<br />

; x —–<br />

ä<br />

function that generates the state;<br />

ü<br />

structure of the matrix <br />

is the forcing<br />

<br />

is the selected form for the output given by the<br />

<br />

is the addtive noise present.<br />

<br />

—– ; ç<br />

—–<br />

The continuous form solution is given by the system of three coupled equations:<br />

, (state estimation differential equa-<br />

ÒJé (1)<br />

tion)<br />

ê % ìë<br />

Ô–<br />

(2) ®<br />

—–<br />

n®<br />

—–<br />

—–<br />

?ó<br />

ø À<br />

—–<br />

ú_®<br />

, (the gain matrix);<br />

—–<br />

—–<br />

—–<br />

—–<br />

(3) å<br />

ý ¹<br />

ú ¹<br />

¹<br />

, (the Ricatti non-linear differential equation).<br />

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aí<br />

Ô–<br />

—–<br />

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6 -<br />

Ô–<br />

—–<br />

Ô–<br />

Ô–<br />

—–<br />

—–<br />

Ô–<br />

aí<br />

x —–<br />

6 -<br />

—–<br />

DEVELOPMENT OF THE ALGORITHMS WHL AND KBC<br />

The WHL solution in discrete form to the problem under analysis is a modified classical<br />

prediction operator for multiple attenuation. We resume as:<br />

(a) The desired output: ¿<br />

, where<br />

ö<br />

is the prediction distance;<br />

g<br />

g<br />

¾ g<br />

g<br />

g<br />

QÐ<br />

ý‚‘<br />

(b) The WHL equation in parametric form: î ¨<br />

q§<br />

the events to be suppressed is represented by the equation î<br />

ýò¢ïóï<br />

.<br />

¤ ¢ïQï<br />

QÐ<br />

(c) The WHL prediction operator with a rectangular window ô<br />

to select out<br />

¾ g<br />

ŸÐ<br />

ÄÉ<br />

ŸÐ<br />

g<br />

An example intentionally simple is the case of multiples not ” accounted for in ,<br />

represented as a delayed pulse of units ( = layer thickness/layer velocity) with a<br />

ö ö , which results<br />

¢3ÏqÏ<br />

generalization through the following function: • g <br />

îöõ<br />

g<br />

.<br />

¢3ÏqÏ<br />

in an autocorrelation of the form: ¢3ÏqÏ<br />

g<br />

2§ .<br />

g<br />

g<br />

î7õ<br />

$<br />

ö$ ú ö<br />

÷»<br />

î7õ2ùÉ<br />

…(2<br />

$ þ<br />

ö$<br />

¢øNø<br />

¢ïóï

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