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This lecture covers the concept of quantization and coding in signal processing, focusing on uniform quantization. It explains how the amplitude scale is divided into intervals with decision levels and quantization levels. The dynamic range of the quantizer is defined, and the quantization error is discussed. An example with a sine signal of amplitude a is used to illustrate how quantization noise increases linearly with each additional bit. The lecture also touches on coding to represent the quantization levels.