Noise factor of a system is defined as:
Ratio of input S/N ratio to output S/N ratio
Ratio of input S/N ratio to output S/N ratio This matches the standard definition of noise factor F = \frac{SNR_{in}}{SNR_{out}} . Ratio of output S/N ratio to input S/N ratio This is the inverse of the noise factor and is often referred to as the system's noise figure efficiency or noise performance factor (although not a standard widely used term for this specific ratio).
Important Questions from Channel Capacity
The capacity of band-limited additive white Gaussian Noise (AWGN) channel is given by \(C = W{\log _2}\left[ {1 + \frac{P}{{{\sigma ^2}w}}} \right]\) bits per second (bps), where W is the channel Bandwidth, P is the average power received and σ2 is the one-sided power spectral density of the AWGN.
For a fixed \(\frac{P}{{{\sigma ^2}}} = 1000\), the channel capacity (in kbps) with infinite Bandwidth (W → ∞) is approximately
- Let the relevant bandwidth ($B$) of a digital communication system be 1 MHz and $kT = -174\text{ dBm/Hz}$, where $k$ is Boltzmann's constant and '$T$' is equivalent noise temperature of the receiver. The power ($S$) of signal received through an additive Gaussian channel is $-80\text{ dBm}$.
Which of the following options is/are TRUE about Shannon capacity ($C$) of the channel? The information capacity (bits/sec.) of a channel with bandwidth W and transmission time T is given by
The Hartley law states that :
(a) the maximum rate of information depends on the channel bandwidth
(b) the maximum rate of information depends on the depth of modulationAccording to Hartley's law
