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SOURCE-SIGNAL ANALYSIS<br />

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Fig. 16-2. Wideband and narrowband spectrograms. (A) Narrowband (45 Hz).<br />

(B) Wideband (300 Hz). Source: Applications <strong>of</strong> Digital Signal Processing,<br />

Alan V. Oppenheim, Editor, Prentice-Hall, 1978.<br />

be determined. Unfortunately, spectral analysis is limited in the frequency<br />

and time resolution that it can show. This is not due to any particular<br />

shortcoming in the computation or the plotting method but instead is due to<br />

a fundamental law <strong>of</strong> physics. Since the unit <strong>of</strong> frequency is "events per<br />

second" and the unit <strong>of</strong> time is seconds, it should be intuitively obvious that<br />

precise measurement <strong>of</strong> the amplitude <strong>of</strong> a frequency component in the presence<br />

<strong>of</strong> other components will take a finite amount <strong>of</strong> time. In fact, if<br />

frequency resolution <strong>of</strong> X hertz is desired, a segment <strong>of</strong> sound lasting a<br />

minimum <strong>of</strong> l/X sec must be analyzed. Even the human ear is subject to this<br />

limitation. As tone bursts are made shorter, there is greater difficulty in<br />

identifying exactly what the pitches are.<br />

The two spectrograms in Fig. 16-2 illustrate the time-frequency<br />

trade<strong>of</strong>f. The first spectrogram is called a narrowband analysis because the<br />

analysis bandwidth is about 45 Hz. This allows individual harmonics <strong>of</strong> the<br />

sound (a human voice) to show clearly. The waving up and down <strong>of</strong> the<br />

horizontal lines, which are the harmonics, is the result <strong>of</strong> changing voice

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