Uniform quantizer for gaussian input signal

1. What is uniform quantizer?
2. What are the two types of uniform quantization?
3. What is quantizer in signal processing?
4. What are the limitations of uniform quantization?

What is uniform quantizer?

Uniform quantization

Uniform quantizers adopt a constant step size △ between reconstruction levels. If the input to the quantizer is x, this will map to a reconstruction value, y_i, where y_i represents the center of the range as dictated by the step size parameter.

What are the two types of uniform quantization?

There are two types of uniform quantization. They are Mid-Rise type and Mid-Tread type.

What is quantizer in signal processing?

A quantizer is a signal processing block, that maps a continuous amplitude to a discrete amplitude. The output of the quantizer is discrete, meaning that it can only output Q different values.

What are the limitations of uniform quantization?

What is the disadvantage of uniform quantization over the non-uniform quantization? SNR decreases with decrease in input power level at the uniform quantizer but non-uniform quantization maintains a constant SNR for wide range of input power levels. This type of quantization is called as robust quantization.