The fans sitting in the bleachers
or
The number of students in a classroom
The fans sitting in the bleachers
One example of a quantized event in everyday life would be a cash transaction, since there is a smallest unit of payment (in the U.S., the penny). All cash transactions must be in multiples of this unit; you can't pay a fraction of a cent.
Quantization is the process of mapping a large set of values to a smaller set. A cash transaction is an everyday example of quantization as a larger bill is broken down to smaller bills and coins.
The number of students in a classroom
The number of students in a classroom - apex user
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".
sharks
HI
H2S and HS-
Annunal report of company
Sampling Discritizes in time Quantization discritizes in amplitude
The ideal Quantization error is 2^N/Analog Voltage
one syllable LOL
There are two types of quantization .They are, 1. Truncation. 2.Round off.
Quantization noise is a model of quantization error introduced by quantization in the analog-to-digital conversion(ADC) in telecommunication systems and signal processing.
We describe basic ideas of the stochastic quantization which was originally proposed by Parisi and Wu. We start from a brief survey of stochastic-dynamical approaches to quantum mechanics, as a historical background, in which one can observe important characteristics of the Parisi-Wu stochastic quantization method that are different from others. Next we give an outline of the stochastic quantization, in which a neutral scalar field is quantized as a simple example. We show that this method enables us to quantize gauge fields without resorting to the conventional gauge-fixing procedure and the Faddeev-Popov trick. Furthermore, we introduce a generalized (kerneled) Langevin equation to extend the mathematical formulation of the stochastic quantization: It is illustrative application is given by a quantization of dynamical systems with bottomless actions. Finally, we develop a general formulation of stochastic quantization within the framework of a (4 + 1)-dimensional field theory.
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
assigning too few quantization intervals during sampling of the signal
reduces