The term "quantized" means, is divided into discreet sections which are indivisible; or in other words, it is made of small sections that cannot be made into even smaller sections. In the science of quantum mechanics, it turns out that matter, energy, space and time are all quantized. There is a smallest quantity of each of these which cannot be subdivided into an even smaller quantity. One of these tiny, indivisible pieces would be called a quantum.
reduces
problem with uniform quantisatonis 1.real audio signal is concentrated near zero 2.human ear is more sensitive to quantisaton error at small value using non-uniform quantisaton quantisaton intrval smaller near zero Non uniform quantization reduces the signal-noise ratio at low signal levels.
A quantizer with output as zero when input is zero s mid tread while one which shows change/ transitition in level at input 0 is mid riser
one syllable LOL
Sampling Discritizes in time Quantization discritizes in amplitude
The ideal Quantization error is 2^N/Analog Voltage
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.
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
In logarithmic quantization, one does not quantize the incoming signal but log of it to maintain signal to noise ratio over dynamic range. Dr Inayatullah Khan