what is quantization error?

Answer 1

In short, its the error due to "rounding" off effects or from the act of quantization. For example, in an analog system, one will have ideally infinite accuracy, but when it is converted to a digital signal, you have to "quantize" it to a certain level. The amount of round off you have to do is the quantization error, which may be significant or may not be.

Example, if you round off pi (3.14159.....) to the nearest integer, it would end up as 3. So the quantization error is 0.14159 which is considerable.

Answer 2

Quantizing error is the unsertinty between two bits in an analog to digital convertion. Usually very small compaired to the full range of the converter (1 part out of 65536 with a 16 bit ADC).

Answer 3

Quantization error is the noise introduced by quantization in an ideal ADC. It is a rounding error between the analog input voltage to the ADC and the output digitized value. The noise is non-linear and signal-dependent.

Answer 4

quantization error is the diffrence between actual value and quanized value. quantization error is given by 1/2 lsb. to minimize quantization error number of bits should be increased.

Answer 5

ali's answer is good, for a more electrical view,, the adc has discrete steps, electricaly that in can measure, a minimum range between steps that it can detect, as analog can be at any level at any time, when the adc samples to convert to digital what it reads is a voltage that is one of it's discete levels, and you loose the "exact" analog level that the voltage was at, over a great number of samples this error is called quantization error, or conversion error.

Answer 6

Quantization error is the difference between the continuous analog waveform and the stair-stapped digital representation.