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).
There are two types of quantization .They are, 1. Truncation. 2.Round off.
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.
Yes, a vector can be represented in terms of a unit vector which is in the same direction as the vector. it will be the unit vector in the direction of the vector times the magnitude of the vector.
It is also know as quantization error. Now ask google
The zero vector is both parallel and perpendicular to any other vector. V.0 = 0 means zero vector is perpendicular to V and Vx0 = 0 means zero vector is parallel to V.
Advantage of VQ over SQ: 1.For a given rate, VQ results in a lower distortion than SQ. 2.If the source output is correlate, vectors of source output values will tend to fall in clusters. 3.Even if no dependency: greater flexibility.
disadvantages of histogram compared to barchart
ventilation
please answer me
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.
based on the descriptions in this chapter. If you are not currently thinking of implementing vector quantization routines, you may wish to skip these sections (Sections 10.4.1 and 10.4.2). We follow our discussion of the LBG
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