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INTRODUCTION TO SYNTHESIZERS - hol.gr

INTRODUCTION TO SYNTHESIZERS - hol.gr

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The illustration above shows a simple wave being sampled. The dotted lines show the sampling points. The<br />

original waveform is the smooth line, and the sampled wave is the jagged line.<br />

As we can see, the sampled version of the original wave suffers severely from the low sampling frequency. Since<br />

the A/D-converter doesn't "know" what happens between to adjacent sample points, it will miss a substantial<br />

amount of the wave. The result is a poor representation of the original wave, with a lot of jagged edges. These<br />

edges will be heard as overtones not present in the original sound. This phenomena is called "aliasing".<br />

Now let's see what happens if we double the sampling frequency!<br />

The sampled curve is still a bit jagged, but is now much closer to the original waveform. As the sampling<br />

frequency increases the sampled waveform is getting to look more and more like the original wave. It is fairly<br />

obvious that a high sampling frequency is very important to achieve an authentic result.<br />

But it shouldn't take long to figure out that a high sampling frequency will also consume available storage space<br />

very quickly - there are simply more measurements to be stored in the memory.<br />

Since the available memory usually is a very limited resource in a sampler, it's a tradeoff between sound quality<br />

and sample length. Given a certain amount of memory, we can either achieve a longer sampling by lowering the<br />

sampling frequency and thereby decreasing the sample quality, or we can achieve high quality reproduction by<br />

sacrificing the length of the samples. It takes a lot of skill to learn how to balance these values for an optimum<br />

performance!<br />

Sampling resolution<br />

A high sampling rate may still not be enough to make a good sample - we also need to have a high sample<br />

resolution.<br />

The resolution is the "exactness" of each individual sample. With a high resolution, each sample point will be<br />

measured very accurately. With a lower resolution, the measurements will not be quite as exact, and a certain<br />

amount of rounding errors will occur. Instead of getting too deeply involved with the technical aspects of this,<br />

we can just say that a higher sampling resolution will yield a better reproduction of the original sound than a<br />

lower resolution at the same sampling rate.<br />

Sampling resolution is measured in the unit "bits". Usual sampling resolutions are 8-bit, 12-bit, 16-bit and 32<br />

bit. A sampled sound with 8-bits resolution sounds very <strong>gr</strong>itty and "coarse" compared with a 16-bit sample.<br />

Almost all modern samplers are capable of 16-bit resolution sampling, or even 32-bit resolution sampling, which<br />

yields a very high quality reproduction. In some samplers the resolution is a fixed property of the A/Dconverter,<br />

but other samplers allow the user to set the resolution value to obtain a dirty, artificial and<br />

"industrial" sound<br />

Transposition<br />

Once the waveform has been sampled and stored in memory, we need to be able to reverse the process to play<br />

back the sample. This time the stored values are read out from the memory and the original waveform is thus<br />

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