week10 - how to reduce the digital divide?

1. 

Many digital signals are created by converting and processing analog signals that exist in nature. Converting analog signals to digital signals requires sampling, approximating sampled values to discrete values, and coding, which maps quantized values to bit values. Even doctors and professors sometimes make these errors. Doctors and professors majoring in electronics and computer science understand sampling theory accurately, but many majors in acoustics and musicology understand sampling theory as a sham. We fall into this trap if we do not understand signal processing theory mathematically and intuitively.


2. 

Analog signals can have any real value within a continuous range, but digital signals can have only a finite number of values. Therefore, when switching analog signals to digital, they undergo quantization in addition to the sampling described above. For example, we approximate the magnitude of the sampled signal to the nearest allowed value, and if sampling truncates the signal vertically, quantization is easy to assume to truncate horizontally.


3.

Then how can we solve this? Which way should we take it? Is this really what we need? Or is what we need even greater? We have to make a choice and know everything we need. That is why we will have to make this choice.

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