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It is true that sampling reduces the organizational errors. Most of the interviews and analysis are done on an assumption and the chances of errors are common in this case. On the other hand, sampling lets you to take few people on a random basis. And the chances of errors are very low.
The article focuses on how to fathom quantization slip ups in analog to digital converters by increasing the example extent. Nevertheless, oversampling can grow impossible only, it can be helped by using a method called racket shaping.
In practice, oversampling is implemented in order to achieve cheaper higher-resolution A/D and D/A conversion. For instance, to implement a 24-bit converter, it is sufficient to use a 20-bit converter that can run at 256 times the target sampling rate.
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