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TYPE 34200 STOCHASTICAL ANALVSER

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ln addition to linear averaging, the other averaging<br />

procedure applied by the analyser enables<br />

the process parameter under test to be studied<br />

continuously over a long period of time. The<br />

exponential .,forgetting" typical of the analogue<br />

RC complex, may be written with the help of<br />

the follawing digital arithmetic procedure:<br />

x. +<br />

l ~<br />

Subtroctor<br />

-~<br />

f ...<br />

1<br />

2K<br />

'r!<br />

Adde r<br />

1 ..<br />

1 Register 1--<br />

Black diogram of exponentiol overogíng, K=4 through 15<br />

r<br />

ln the memory of the basic assembly, the result<br />

function is represented by a function sector<br />

consisting of 100 digital samples. ln the course<br />

of the transformation to be carried out, the initio!<br />

signal is regarded to be the periodic repetition<br />

of that sector: the Fourier series of the<br />

signal is generated. The actual frequency resolutien<br />

to be obtained is equal to be reciprocal<br />

of cycle time; the highest actual frequency ls,<br />

as a rule, a hundred times thereof. To better<br />

illustrate the result of transformation, the<br />

number of frequency points may be selected to<br />

be greater, too.<br />

function<br />

to be transformed<br />

o cosine<br />

multipller function<br />

( 2n) cos N n · m<br />

T = 1\ L t<br />

-----,!'<br />

weighting function<br />

Of N sampled values, M=N/2 freq uency points<br />

can be obtained. The m-th real or imaginary<br />

frequency component can be obtained from the<br />

follawing formulae:<br />

N-1<br />

Am= .2 xlnl)· w(nl)· cos l:._l_l) n·m<br />

n= O \ N N N

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