Dataquantisatie
Dataquantisatie, often referred to as data quantization, is the process of mapping a continuous range of input values to a smaller set of discrete values. This technique is widely used in various fields, including signal processing, computer graphics, and data compression, to reduce the amount of data required for storage or transmission while minimizing the loss of information.
In digital systems, quantization is essential because analog signals—such as those from microphones or sensors—cannot be
Quantization introduces errors known as quantization noise, which can degrade signal quality. The choice of quantization
Beyond signal processing, quantization plays a role in machine learning and neural networks. Quantized models, for
In summary, data quantization is a fundamental technique for balancing precision and efficiency in digital systems,