Appendix f:miscellaneous, Appendix f: miscellaneous, Sampling theorem – Tektronix AWG610 User Manual

Page 441: Differentiation

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AWG610 Arbitrary Waveform Generator User Manual

F-1

Appendix F: Miscellaneous

This appendix covers the following items.

H Sampling theorem

H Differentiation

H Integration

H Convolution

H Correlation

H Code Conversion

Sampling Theorem

When the signal is continuous and the highest frequency component of the signal
is f

0

, sampling with T

x f

0

/2 loses none of the data contained in the signal. T is

the sampling interval. This theorem is well known as the sampling theorem. If
data is created to meet this theorem, the necessary signal can be obtained.

X(t) +

ȍ

R

n+ćR

X(nt)

sinNJ(2pńT)(tćnTń2)Nj

(2pńT)(tćnTń2)

A continuous analog signal x(t) can be reproduced from the digital data with the
above equation. In the Waveform Generator, this is realized using a D/A
converter.

Differentiation

The diff() function calculates the central deviation as the differential value. The
equation below expresses the central deviation when the function f(x) is given at
even intervals of

nx.

fȀ(x) +

f (x ) Dx)ćf (xćDx)

(2Ă Dx)

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