Digital Signal Processing: Anti Aliasing, Sampling & Quantization Explained

  • Thread starter Thread starter Erida
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AI Thread Summary
Digital signal processing involves three key steps to convert an analog waveform into a digital format: anti-aliasing filtering, sampling, and quantization. Anti-aliasing filtering removes unwanted frequencies from the signal to prevent distortion. Sampling captures the voltage levels of the waveform at specific intervals using an analog-to-digital converter. Quantization then translates these sampled voltage levels into a digital bit representation. For visual aids, users seek resources that provide graphs illustrating these processes.
Erida
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Hi...
I have just started reading about digital signal processing and I am a bit confused. I was wondering if you guys could help me... with probably too easy stuff.
So... in order to convert an analogue electrical waveform into a digital wave, there are 3 steps: anti aliasing filtering, sampling and quantization...
What exactly happens to the waveform during each stage?
Do you know any sites where I can find any graphs that exemplify this process?


Thank you!

I'll be forever indebted!:)

Erida
 
Engineering news on Phys.org
Filter-remove frequencies you might not be interested in
Sample-input the voltage of the waveform to your circuit (A to D converter)
Quantization-Code the input voltage into a digital bit representation
 
Thanx a lot man!
 

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