Quantization effects refer to the errors and distortions that occur when a continuous range of values is mapped to a finite set of discrete levels, commonly observed in digital signal processing and data compression. These effects can lead to a loss of information and introduce quantization noise, impacting the accuracy and quality of the processed signal or data.