Lecture

Quantization: Basics and Uniform Input

Description

This lecture covers the concept of quantization in digital devices, where the range of a signal is mapped onto a finite set of values, leading to quantization noise. It explains scalar quantization, uniform quantization, and the optimal quantization point for uniform input. The lecture also delves into mean square error, error analysis, and the signal-to-noise ratio, providing insights into the impact of quantization on signal quality.

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