Signal and systems miscellaneous
- The probability density function of a signal x[ t] is given by
Px(x) = 1 |x|. e– |x| 2
the probability that x > 1 is—
-
View Hint View Answer Discuss in Forum
P(x > 1) = ∞ Px(x).dx = ∞ |x| e–|x|dx 1 1 2 = ∞ |x| e–xdx 1 2 = 1 x ∞ e–xdx – d .x ∞ e–xdx 2 1 dx 1 = 1 x-x + ∞ e-x dx 2 - 1 1 1 = 1 [– xe–x – e–x]∞1 2
= 1/e = 0·368Correct Option: C
P(x > 1) = ∞ Px(x).dx = ∞ |x| e–|x|dx 1 1 2 = ∞ |x| e–xdx 1 2 = 1 x ∞ e–xdx – d .x ∞ e–xdx 2 1 dx 1 = 1 x-x + ∞ e-x dx 2 - 1 1 1 = 1 [– xe–x – e–x]∞1 2
= 1/e = 0·368
- The probability density function of a signal x[ t] is given by
Px(x) = 1 |x|. e– |x| 2
the probability that – 1 ≤ x ≤ 2
-
View Hint View Answer Discuss in Forum
P(– 1 < x ≤ 2)
= ∞ Px(x)dx = ∞ |x| e-xdx - ∞ - ∞ 2 0 = 0 - x exdx + 2 x e-xdx - 1 2 0 2 0 = 1 xex - ∞ xexdx - xe-x + 2 xe-xdx 2 - 1 - 1 0 = 1 - 1 – 3 = 0.42 e e2 Correct Option: B
P(– 1 < x ≤ 2)
= ∞ Px(x)dx = ∞ |x| e-xdx - ∞ - ∞ 2 0 = 0 - x exdx + 2 x e-xdx - 1 2 0 2 0 = 1 xex - ∞ xexdx - xe-x + 2 xe-xdx 2 - 1 - 1 0 = 1 - 1 – 3 = 0.42 e e2
Direction: for the probability of a Gaussian variable x is given by
Px(x) = | e – (x – 4)2/18 | 3√2π |
Q. (0) = 0·5, Q | ![]() | ![]() | = 0·09176 | 3 |
and Q. (2) = 0·02275
- The probability p(x > 4) is—
-
View Hint View Answer Discuss in Forum
We know that general Gaussion probability density function is given by
Px(x) = 1 e – (x – μx)2/2σ2x √2πσx
On comparing with given equationPx(x) = 1 e – (x – μx)2/2σ2x √2πσx
μx = 4, σx = 3P(x > 4) = Q x – μx = Q 4 – 4 σx 3
= Q(0) = 0·5Correct Option: A
We know that general Gaussion probability density function is given by
Px(x) = 1 e – (x – μx)2/2σ2x √2πσx
On comparing with given equationPx(x) = 1 e – (x – μx)2/2σ2x √2πσx
μx = 4, σx = 3P(x > 4) = Q x – μx = Q 4 – 4 σx 3
= Q(0) = 0·5
- The probability p(x > 0) is—
-
View Hint View Answer Discuss in Forum
P(x > 4) = Q 0 - 4 = Q – 4 3 3 = 1 – Q 4 3
= 1 – 0·09176
= 0·90824Correct Option: B
P(x > 4) = Q 0 - 4 = Q – 4 3 3 = 1 – Q 4 3
= 1 – 0·09176
= 0·90824
- The probability p(x > – 2) is—
-
View Hint View Answer Discuss in Forum
P(x > – 2) = Q x – μx σx
= Q – 2 – 4 3
= Q (– 2)
= 1 – Q (2)
= 1 – 0·02275 = 0·97725Correct Option: B
P(x > – 2) = Q x – μx σx
= Q – 2 – 4 3
= Q (– 2)
= 1 – Q (2)
= 1 – 0·02275 = 0·97725