Howtosignalprocessing
The type of quantization in which the quantization levels are unequal and mostly the relation between them is logarithmic, is termed as a Non-uniform Quantization.
- What is the difference between uniform and non uniform quantization?
- What is the example of non uniform quantization?
- Why is non uniform quantization needed?
- What is non uniform quantization in image processing?
What is the difference between uniform and non uniform quantization?
While a uniform quantizer has the same step size throughout the input range, a nonuniform quantizer does not. For a uniform quantizer, the range and the step size determine the number of levels required for the quantization.
What is the example of non uniform quantization?
A common example of this is the telephone system. Different people speak with differing amounts of loudness into the telephone. The quantizer used in the telephone system needs to be quite robust to the wide range of input variances in order to provide satisfactory service.
Why is non uniform quantization needed?
The technique of non-uniform quantization described in the paper is readily implemented to improve the steady state accuracy of an existing system, or alternatively for a given design-consistent accuracy, to economize in analogue-to-digital converter bit capacity.
What is non uniform quantization in image processing?
Quantizers in which reconstruction and transition levels do not have even spacing is called non-uniform quantization. The notion that uniform quantizer is the optimal MMSE when is uniform suggests another approach. Specifically we can map f to g in such a way that is uniform.
