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Decibell, Fft spectral bins – Campbell Scientific CR9000X Measurement and Control System User Manual

Page 279

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Section 7. Measurement Instructions

7-55

determine the number of values returned by FFTFilt. The units of the RMS
amplitude spectrum are mV RMS.

deciBell

The deciBell (dB) spectrum normalizes the RMS amplitude spectrum

according to



ref

A

A

10

log

0

2

where

A

is value from the RMS amplitude spectrum, and

ref

A

is RMS

amplitude reference level. The inverse of the multiplier parameter (Mult

-1

) of

the FFTFilt instruction gives

A

ref

. Because the square of the RMS amplitude

is equal to power, an equivalent normalization to dB is



ref

P

P

10

log

0

1

where

P

is the value from the power spectrum, and

ref

P

is power reference

level. The square of the inverse of the multiplier parameter (Mult

-2

) gives

ref

P

. The multiplier parameter of the FFTFilt performs two functions for the

dB spectrum option. The first function is to convert the raw signal
measurements from mV to the units in which the dB reference is specified, and
the second function gives the dB reference. For example, users may convert
signals from a microphone to sound pressure level (SPL) spectra in dB relative

to 20

μPascals RMS, by setting Mult to:

RMS

Pascals

10

20

6

×

k

where

k

is the microphone calibration in Pascals per mV. The FFT calculation

produces FFTLen/2 +1 deciBell components. ILow and IHigh, described
below, determine the number of values returned by FFTFilt. The dB spectrum
is unitless.

FFT Spectral Bins

The FFT calculation produces N/2 +1 spectral bins, where N is the number of
points in the original time series. These bins may contain a single value (i.e.,
amplitude) or a pair of values (i.e., Real and Imaginary). Each of these bins
represents a frequency range. Let

i

be the bin number, ranging from 0 for the

DC component to N/2 for the highest frequency range. The center frequency of

each range is:

( )

i

N

f

i

f

SR

c

=

where

SR

f

is the sample rate of the time series processed by the FFT

(parameter FSampRate), and

N

is the length of the FFT (parameter

FFTLen).

( )

0

c

f

is the center frequency of the first spectral component

calculated by the FFT,

( )

1

c

f

is the center frequency of the second spectral

component, and so on.