22.09.2015 Views

of Microprocessors

Musical-Applications-of-Microprocessors-2ed-Chamberlin-H-1987

Musical-Applications-of-Microprocessors-2ed-Chamberlin-H-1987

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

30 MUSICAL ApPUCATIONS OF MICROPROCESSORS<br />

absence <strong>of</strong> a repeating wave pattern is rather academic, but it will be important<br />

later.<br />

Unpitched sounds and most semipitched sounds are like the waveforms<br />

<strong>of</strong> Fig. i-2D and E-real messes that look more like an infant's scribbling.<br />

Time waveforms <strong>of</strong> such sounds give almost no clues about how they will<br />

sound. A spectrum plOt, however, will reveal quite a bit. The first obvious<br />

feature is that there is a very large number <strong>of</strong> lines representing component<br />

sine waves. With such a large number, the spectral envelope takes on added<br />

significance. In fact, most sounds <strong>of</strong> this type literally have an infinite<br />

number <strong>of</strong> component frequencies so the envelope is all that can be really<br />

plotted.<br />

The spectrum in Fig. i-3D is special. It is nothing more than a<br />

straight line! Such a sound is called white noise because it has an even mixture<br />

<strong>of</strong> all audible frequencies. This is analogous to white light, which is an evenmixture<br />

<strong>of</strong> all visible light frequencies. Any departure from a straight spectral<br />

plot can be called coloring the sound, analogous to coloring light by<br />

making one group <strong>of</strong> frequencies stronger than others.<br />

Pure white noise sounds like rushing air or distant surf. If the lower<br />

1.0<br />

0.8<br />

lJJ<br />

a<br />

~ 0.6<br />

::i<br />

Q.<br />

~<br />

« 0.4<br />

0.2<br />

2 3 4 5 6 7<br />

FREQUENCY (Hz 1100)<br />

(Cl<br />

1.0<br />

0.8<br />

lJJ<br />

0<br />

E 0.6<br />

....I<br />

Q.<br />

::E<br />

« 0.4<br />

0.2<br />

0<br />

0 2 3 4 5 6 7 8 9 10<br />

FREQUENCY (Hz 1100)<br />

(D)<br />

Fig. 1-8. Spectrum plot (cant.). (C) Waveform <strong>of</strong> Fig. 1-20. (D) Waveform <strong>of</strong><br />

Fig. 1-2E.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!