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Many signals are periodic in nature, such as short segments of
most tonal musical instruments and speech. The sinusoidal components
in a periodic signal are constrained to be harmonic, that is,
occurring at frequencies that are an integer multiple of the
fundamental frequency
.6.6 Physically, any ``driven
oscillator,'' such as bowed-string instruments, brasses, woodwinds,
flutes, etc., is usually quite periodic in normal steady-state
operation, and therefore generates harmonic overtones in steady
state. Freely vibrating resonators, on the other hand, such as
plucked strings, gongs, and ``tonal percussion'' instruments,
are not generally periodic.6.7
Consider a periodic signal with fundamental frequency
Hz.
Then the harmonic components occur at integer multiples of
, and
so they are spaced in frequency by
. To resolve
these harmonics in a spectrum analysis, we require, adapting
(5.27),
|
(6.28) |
Note that
is the fundamental period of the signal in samples.
Thus, another way of stating our simple, sufficient resolution
requirement on window length
, for periodic signals with period
samples, is
,
where
is the main-lobe width in bins (when critically sampled)
given in Table 5.2.
Chapter 3 discusses other window types
and their characteristics.
Specifically, resolving the harmonics of a periodic signal with period
samples is assured if we have at least
and so on, according to the simple, sufficient criterion of separating
the main lobes out to their first zero-crossings. These different
lengths can all be regarded as the same ``effective length'' (two
periods) for each window type. Thus, for example, when the Blackman
window is 6 periods long, its effective length is only 2 periods, as illustrated in
Figures 5.13(a) through 5.13(c).
Figure 5.13:
Three different window types applied to the same sinusoidal
signal, where the window lengths were chosen to provide approximately
the same ``resolving power'' for two sinusoids closely spaced in
frequency. The nominal effective length in all cases is two
sinusoidal periods.
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