Signal and systems miscellaneous


Signal and systems miscellaneous

Signals and Systems

  1. 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—









  1. View Hint View Answer Discuss in Forum

    P(x > 1) = Px(x).dx =
    |x|
    e–|x|dx
    112

    =
    |x|
    e–xdx
    12

    =
    1
    xe–xdx –
    d
    .xe–xdx
    21dx1

    =
    1
    x-x
    +
    e-x
    dx
    2- 111

    =
    1
    [– xe–x – e–x]1
    2

    = 1/e = 0·368

    Correct Option: C

    P(x > 1) = Px(x).dx =
    |x|
    e–|x|dx
    112

    =
    |x|
    e–xdx
    12

    =
    1
    xe–xdx –
    d
    .xe–xdx
    21dx1

    =
    1
    x-x
    +
    e-x
    dx
    2- 111

    =
    1
    [– xe–x – e–x]1
    2

    = 1/e = 0·368


  1. 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









  1. View Hint View Answer Discuss in Forum

    P(– 1 < x ≤ 2)

    = Px(x)dx =
    |x|
    e-xdx
    - ∞- ∞20

    = 0-
    x
    exdx + 2
    x
    e-xdx
    - 12020

    =
    1
    xex -xexdx -
    xe-x
    + 2xe-xdx
    2- 1- 10

    = 1 -
    1
    3
    = 0.42
    ee2

    Correct Option: B

    P(– 1 < x ≤ 2)

    = Px(x)dx =
    |x|
    e-xdx
    - ∞- ∞20

    = 0-
    x
    exdx + 2
    x
    e-xdx
    - 12020

    =
    1
    xex -xexdx -
    xe-x
    + 2xe-xdx
    2- 1- 10

    = 1 -
    1
    3
    = 0.42
    ee2



Direction: for the probability of a Gaussian variable x is given by

Px(x) =
1
e – (x – 4)2/18
3√

Q. (0) = 0·5, Q
4
= 0·09176
3

and Q. (2) = 0·02275

  1. The probability p(x > 4) is—









  1. 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 equation
    Px(x) =
    1
    e – (x – μx)2/2σ2x
    2πσx

    μx = 4, σx = 3
    P(x > 4) = Q
    x – μx
    = Q
    4 – 4
    σx3

    = Q(0) = 0·5

    Correct 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 equation
    Px(x) =
    1
    e – (x – μx)2/2σ2x
    2πσx

    μx = 4, σx = 3
    P(x > 4) = Q
    x – μx
    = Q
    4 – 4
    σx3

    = Q(0) = 0·5


  1. The probability p(x > 0) is—









  1. View Hint View Answer Discuss in Forum

    P(x > 4) = Q
    0 - 4
    = Q
    – 4
    33

    = 1 – Q
    4
    3

    = 1 – 0·09176
    = 0·90824

    Correct Option: B

    P(x > 4) = Q
    0 - 4
    = Q
    – 4
    33

    = 1 – Q
    4
    3

    = 1 – 0·09176
    = 0·90824



  1. The probability p(x > – 2) is—









  1. 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 = 0·97725

    Correct Option: B

    P(x > – 2) = Q
    x – μx
    σx

    = Q
    – 2 – 4
    3

    = Q (– 2)
    = 1 – Q (2)
    = 1 – 0·02275 = 0·97725