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
Noise can be amplified in a digital receiver due to the quantization process, where continuous signals are converted into discrete digital values. This can introduce quantization noise, which, although typically lower than analog noise, may become more significant in low-signal environments. Additionally, any noise present in the input signal can be exacerbated during the digital processing stages, particularly if the system is not properly designed to handle it. Overall, while digital receivers can offer advantages like improved signal integrity, they are not immune to noise amplification.
The "kissing noise" of a transformer, often referred to as the "buzz" or "hum," typically occurs at the frequency of the alternating current (AC) supply, which is usually 50 Hz or 60 Hz, depending on the region. This noise is generated due to the magnetostriction effect in the core material, causing it to expand and contract as the magnetic field fluctuates. In some cases, higher-frequency harmonics can also contribute to the noise, but the fundamental frequency remains at the power line frequency.
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 ...
Higher quantization levels, such as 16-bit or 24-bit, allow for more faithful reproduction of a signal, as they provide a greater number of discrete amplitude levels. This improves the resolution of the audio or signal, reducing quantization noise and capturing more detail in the original waveform. Consequently, using a higher quantization level enhances dynamic range and overall sound quality.
SHOT Noise
Noise can be amplified in a digital receiver due to the quantization process, where continuous signals are converted into discrete digital values. This can introduce quantization noise, which, although typically lower than analog noise, may become more significant in low-signal environments. Additionally, any noise present in the input signal can be exacerbated during the digital processing stages, particularly if the system is not properly designed to handle it. Overall, while digital receivers can offer advantages like improved signal integrity, they are not immune to noise amplification.