Quantization errors are errors that occur when digital Recording or processing of analog analog signals can occur. They are created when an analog signal is converted into discrete values ​​(samples) for digital storage or processing. Quantization breaks down the analog signal into discrete values ​​that are stored in a digital format. The resolution of the digital format, ie the number of discrete values ​​available, determines the accuracy with which the analog signal can be reproduced. If the analog signal is between two discrete values, it is rounded to the nearest discrete value. This rounding process results in an error that appears as quantization errors or rounding errors referred to as. The size of the quantization error depends on the resolution of the digital format and the accuracy of rounding. The higher the resolution of the format, the smaller the quantization error.