Quantization
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May 1, 2024
Updated June 25, 2025
25 minute read
An Introduction to Quantization
Quantization, at its core, is the process of mapping a large, often continuous, set of input values to a smaller, usually finite, set of output values. Think of it as approximating a vast range of numbers with a more limited palette. This technique is fundamental in digital signal processing, where analog signals are converted to digital representations, and it plays a crucial role in data compression and, increasingly, in the optimization of machine learning models. While the concept might initially seem abstract, its applications are widespread and integral to many technologies we use daily.
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