quantisation noise decrease and quantization density remain same.
yes yes
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
because noise usually changes the amplitude not frequency.
SHOT Noise
the frequency difference between the transmitter and the receiver without any noise or distortion
AS FREQUENCY INCREASE THE BANDWIDTH INCREASE. AS WE KNOW NOISE HAVE LARGER BANDWIDTH. SO ITS AFFECT HIGH FREQUENCY SIGNAL. BUT LOW FREQUENCY SIGNAL HAVE LOW BANDWIDTH SO IT IS LESS AFFECTED BY NOISE. ALSO WE KNOW QUALITY FACTOR= CUTOFF FREQUENCY / BANDWIDTH. SO AS FREQUENCY INCREASE B.W. INCREASE SO QUALITY DEGRADE. CUTOFF FREQUNCY AND THE TERM FREQUENCY (USED HERE) IS DIFFERENT. CUTTOFF FREQUNCY IS USED IN FILTER. PRABIR KUMAR SETHY prabirsethy.05@gmail.com
reduces
assigning too few quantization intervals during sampling of the signal
Quantization noise is a model of quantization error introduced by quantization in the analog-to-digital conversion(ADC) in telecommunication systems and signal processing.
Signal processing's goals include many things, most importantly: sampling, quantization, noise reduction, image enhancement, image understanding, speech recognition, and video compression.
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
noise are assumed frequency independent......
because noise usually changes the amplitude not frequency.
The natural sampling is one which can be represented with respect to amplitude of the analog signal.The flat top sampling is the one which can be represented in only a particular amplitude which cannot be changed with respect to the analog signalthis is true but let me add another difference that Is The Noise ...In Natural sampling : the sample take the top signals shape ( respect to amplitude of the analog signal ) which mean if there is noise above signal , when it will be demodulate with LBF (low pass filter ) it will cut from the original signal ,,,, We cant do that ...but In Flat-Top sampling : the sample shape will be lated so if there is noise we can remove it easily and the signal we be like it transmitted without any noise ...
SHOT Noise
In source coding (analog-to-digital conversion and compression), the difference between the actual analog value and quantized digital value due is called quantization error. This error is due either to rounding or truncation
White noise
Delta sigma modulation achieves "noise shaping" that essentially high-pass filters the quantization noise. This reduces the noise power in the baseband so that oversampling can access more bits of useful signal resolution than would be possible in the presence of the unfiltered noise.