2-5.5 - A common method for detecting a signal in a presence of noise is to establish a threshold value and compare the value of any observation with this threshold. If the threshold is exceeded, it is decided that a signal is present. Sometimes, of course, noise alone will exceed the threshold and this is known as a “false alarm”. Usually, it is desired to make the probability of a false alarm very small. At the same time, we would like any observation that does contain a signal plus the noise to exceed the threshold with a large probability. This is the probability of detection and it should be as close to 1 as possible. Suppose we have Gaussian noise with zero mean and variance of 2 V2 and we set a threshold level of 6 V.
2-8.4 - Consider again the threshold detection system described in Problem 2-5.5.
A) When noise only is present, find the conditional mean value of the noise that exceeds the threshold.
B) Repeat part (A) when both the specified signal and noise are present.
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