quantisation noise decrease and quantization density remain same.
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.
Flat top sampling offers better noise immunity than natural sampling because it reduces the effects of noise during the sampling process. In flat top sampling, the signal is held constant for the duration of the sampling interval, minimizing the impact of noise that may occur during the transition of the signal. This stability allows for more accurate representation of the sampled signal, as it reduces the likelihood of noise corrupting the sampled values. In contrast, natural sampling varies continuously, making it more susceptible to noise fluctuations at the moment of sampling.
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
When the frequency of the wave decreases, the pitch of the noise decreases, making it sound lower. The noise may also become more rhythmic or repetitive as the frequency decreases. Additionally, lower frequency noises can travel further distances and penetrate obstacles more effectively.