Question

__________ Refers to the difference between the original analog data and the approximation of that data using the techniques for translating from analog data to digital signals.
A. Quantizing error
B. Handshaking phase
C. Modulating frequency
D. POTS anomaly
E. Amplitude Trellis effect

Answer 1

Answer:

Quantizing error

Explanation:

In digitisation of analog signal refers to the rounding off of values which are approximately equal to the analog signals. The method of sampling chooses a few point on the analog signal and then these points are joined to round off the value to a near stabilised value. such process is known as Quantization. For any system, during its functioning, there is always a difference in the values of its input and output. The processing of the system results in an error, which is the difference of those values.

The difference between an input value and its quantized value is called a Quantization Error. A Quantizer is a logarithmic function that performs Quantization rounding off the value. An analog-to-digital converter (ADC) works as a quantizer.