Scalar quantization

1. What is scalar quantisation?
2. What do you mean by quantization?
3. What is meant by vector quantization?
4. Which statement is correct for scalar quantization and vector quantization?
5. How do you quantize vectors?

What is scalar quantisation?

In scalar quantization, a scalar value is selected from a finite list of possible values to represent a sample. In vector quantization, a vector is selected from a finite list of possible vectors to represent an input vector of samples.

What do you mean by quantization?

Quantization is the process of mapping continuous infinite values to a smaller set of discrete finite values. In the context of simulation and embedded computing, it is about approximating real-world values with a digital representation that introduces limits on the precision and range of a value.

What is meant by vector quantization?

Vector quantisation (VQ) is the assignment of one code word to a group of two or more picture elements. Compression is achieved through the number of available code words being less than the number of permutations of the possible values of the input pels in the group.

Which statement is correct for scalar quantization and vector quantization?

(11) What statement is correct for comparing scalar quantization and vector quantization? a. By vector quantization we can always improve the rate-distortion performance relative to the best scalar quantizer.

How do you quantize vectors?

Vector Quantization works by dividing a large set of points (vectors) into groups having approximately the same number of points closest to them. Each group is represented by its centroid point, as in k-means and some other clustering algorithms.