This is a term from the field of Quantum Mechanics which describes how the plane of an orbiting electron, in an atom, can only have a certain number of orientations. For example; if you take a vertical line as the center of the orbit, then the plane of the orbit might be perpendicular to the vertical line. Or it might be tilted 30 degrees from the vertical. Or it might be tilted 60 degrees from the vertical. Whatever the allowed angles might be, the idea is no other angles are allowed. So rather then a "continous" range of allowed angles, there are instead only a few "quantized" allowed values. Since this quantization refers to orientations in space it is called "space quantization".
The fans sitting in the bleachers or The number of students in a classroom
Matter takes up space. The amount of space matter occupies is referred to as its volume.
The space between molecules is called inter molecular space.
Bohr's model
Talk space can refer to the space between two people when they are able to communicate comfortably without screaming. Lead space can refer to the space that between the lead person and the second person in a line
The spinning top does not show space quantization because the system of a spinning top is not quantized in the same way as fundamental particles like electrons. The motion of the top is dominated by classical mechanics, where continuous values of position and momentum are used to describe its behavior, rather than the discrete energy levels and quantization seen in quantum systems.
Quantization range refers to the range of values that can be represented by a quantization process. In digital signal processing, quantization is the process of mapping input values to a discrete set of output values. The quantization range determines the precision and accuracy of the quantization process.
Sampling Discritizes in time Quantization discritizes in amplitude
one syllable LOL
The ideal Quantization error is 2^N/Analog Voltage
There are two types of quantization .They are, 1. Truncation. 2.Round off.
Mid riser quantization is a type of quantization scheme used in analog-to-digital conversion where the input signal range is divided into equal intervals, with the quantization levels located at the midpoints of these intervals. This approach helps reduce quantization error by evenly distributing the error across the positive and negative parts of the signal range.
Quantization noise is a model of quantization error introduced by quantization in the analog-to-digital conversion(ADC) in telecommunication systems and signal processing.
quantisation noise decrease and quantization density remain same.
You get Jaggies
Vector quantization lowers the bit rate of the signal being quantized thus making it more bandwidth efficient than scalar quantization. But this however contributes to it's implementation complexity (computation and storage).
assigning discrete integer values to PAM sample inputs Encoding the sign and magnitude of a quantization interval as binary digits