I wrote a short white paper on this a few years ago. You can read it at:
http://doctord.webhop.net/tutorials/Shannon_Channel_Capacity.htm
Jeffrey N. Denenberg
Electrical Engineering Professor
Quantization noise is a model of quantization error introduced by quantization in the analog-to-digital conversion(ADC) in telecommunication systems and signal processing.
Bn>B3bn
Phase shift keying Quadrature shift keying
thermal noise willbe reduce
it is nothing but equivalent B.W
The data rate (C) is equal to the bandwidth (B) times the logarithm base 2 of 1 plus the signal-to-noise ratio (S/N) (how much interference is introduced in the transmission of data)C = B x log2(1 + S/N)So your data rate is directly proportional to your bandwidth. If you increase your bandwidth, your data rate will also increase provided the signal-to-noise ratio isn't affected.
It is the bandwidth, the temperature, and the resistance. Look at the link: "Calculation of Noise voltage: Thermal noise".
the bandwidth and the signal to noise ratio
A: There is a direct relationship between altitude and temperature. As altitude increases there is less air available to remove the dissipated heat therefore locally the temperature rises but environment temperature as a whole decreases. I don't see any relationship with any noise with altitude
digital bandwidth = analogue bandwidth * log2 (1+ SNR) where SNR = strenthe of signal power/ strength of noise larger the SNR it is better.
the channel capacity (information in bits per second) is related to bandwidth and SNR by the relation C= B[log(1+SNR) b/s log is at the base 2 B= bandwidth of a channel C= capacity in bits per second SNR= signal to noise ratio.
Thermal noise is derived as KTB where K is the Boltzmann constant (1.38 x 10^-23 J/K), T is the temperature in Kelvin, and B is the bandwidth of the system. This equation relates the power of thermal noise to the temperature and bandwidth of a system, with higher temperatures and wider bandwidths resulting in higher levels of thermal noise.