• recategorized by
1,062 views
2 2 votes

​​​​​A source transmits a symbol $s$, taken from $\{-4,0,4\}$ with equal probability, over an additive white Gaussian noise channel. The received noisy symbol $r$ is given by $r=s+w$, where the noise $w$ is zero mean with variance 4 and is independent of $s$. Using $Q(x)=\frac{1}{\sqrt{2 \pi}} \int_{x}^{\infty} e^{\frac{-t^{2}}{2}} d t$, the optimum symbol error probability is $\_\_\_\_\_\_$.

  1. $\frac{2}{3} Q(2)$
  2. $\frac{4}{3} Q(1)$
  3. $\frac{2}{3} Q(1)$
  4. $\frac{4}{3} Q(2)$

 

Please log in or register to answer this question.

Answer:
Position:
Show:

Related questions

0 0 votes
0 0 answers
1.3k
1.3k views
admin asked Feb 16, 2024
1,341 views
​​​​A white Gaussian noise $w(t)$ with zero mean and power spectral density $\frac{N_{0}}{2}$, when applied to a first-order RC low pass filter produces an output $n(t)$....
0 0 votes
0 0 answers
642
642 views
Arjun asked Feb 12, 2019
642 views
A single bit, equally likely to be $0$ and $1$, is to be sent across an additive white Gaussian noise (AWGN) channel with power spectral density $N_{0}/2.$ Binary signali...
0 0 votes
0 0 answers
456
456 views
gatecse asked Feb 19, 2018
456 views
Consider a white Gaussian noise process $\text{N(t)}$ with two-sided power spectral density $S_{N}\left ( f \right )=0.5\:W/Hz$ as input to a filter with impulse response...
1 1 vote
0 0 answers
1.7k
1.7k views
admin asked Feb 16, 2024
1,675 views
A digital communication system transmits through a noiseless bandlimited channel $[-W W]$. The received signal $z(t)$ at the output of the receiving filter is given by $z...

Add Synced Question

×