Difference between revisions of "Digital systems/Sampling and reconstruction (Q895)"
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(Added [nl] description: de sampling van analoge signalen naar een digitale weergave, de eigenschappen daarvan en methoden voor de reconstructie van het oorspronkelijke signaal) | (Changed [en] label: Digital systems/Sampling and reconstruction) | ||
| label / en | label / en | ||
| - | + | Digital systems/Sampling and reconstruction | |
Revision as of 21:09, 26 July 2024
the sampling of analog signals into a digital representation, its properties, and methods for reconstruction of the original signal
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Digital systems/Sampling and reconstruction | the sampling of analog signals into a digital representation, its properties, and methods for reconstruction of the original signal |
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fundamentals of digital signals (English)
can explain (English)
discretization of value: quantization (English)
discretization of time: sampling (English)
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pulse-code modulation and pulse trains (English)
can explain (English)
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under-sampling and aliasing artefacts (English)
can identify from audio example or spectrogram, and explain phenomenon (English)
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quantization noise (English)
can explain phenomenon (English)
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reconstruction methods for pulse-code modulated signals (English)
sound quality comparison and latency trade-offs (English)
sample-and-hold (English)
linear interpolation (English)
sinc interpolation (English)
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SQQ7 - 1.5.1
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Experiment: Listen to quantization noise (English)
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Experiment: Hear the sound of different interpolation methods (English)
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Digital systems have made our lives a lot easier, but they behave in subtly different ways to the analog mental model that most of us have. Some theory helps us to interpret the sonic consequences of technical parameters, inform our handling of digital systems, and successfully navigate marketing language and promises. (English)
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Digitale System haben unser Leben sehr vereinfacht, aber sie verhalten sich in vielen Details anders als unsere intuitive Vorstellung, die meist analog geprägt ist. Theoretisches Verständnis hilft uns, die klanglichen Auswirkungen technischer Daten zu interpretieren, unseren Umgang mit Digitalsystemen zu verbessern sowie die Aussagen und Verspechungen von Herstellern einzuschätzen. (German)
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