Riddle: I am a signal type with a continuous time variable, but my amplitude is discrete. What am I? |
Card: 3 / 40 |
True or False: A random process is a collection of random variables dependent on time. |
Card: 5 / 40 |
Which of the following represents the auto-correlation function of a random process X(t)? A) Rxy(t1, t2) B) Rxx(t1, t2) C) mx(t) D) Sxx(f) |
Card: 9 / 40 |
What type of stationary process has statistical properties independent of time origin? |
Card: 11 / 40 |
True or False: All strict sense stationary random processes are also wide-sense stationary. |
Card: 13 / 40 |
What is the expected value of the product of two random processes X(t1) and Y(t2) called? |
Card: 17 / 40 |
Fill in the blank: The ______ is used to analyze the relationship between a random process and its shifted version. |
Card: 19 / 40 |
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Which of the following is characterized by zero mean and a delta function for its autocorrelation? A) Gaussian noise B) White noise C) Pink noise D) Brownian noise |
Card: 21 / 40 |
Riddle: I have a flat power spectral density and am used to mask noise, yet I am not a color. What am I? |
Card: 23 / 40 |
What type of filter is used to simulate any arbitrary random process from white noise? |
Card: 29 / 40 |
Fill in the blank: A random process is called ______ if its joint probability density function is independent of time. |
Card: 31 / 40 |
Which of the following properties is true for the auto-correlation function R(Z)? A) R(Z) is odd B) R(Z) is maximum at Z = 0 C) R(Z) is constant D) R(Z) has no maximum |
Card: 33 / 40 |
Riddle: I’m a signal that can be a source of randomness, often used in electronic music, and I’m named after a color. What am I? |
Card: 37 / 40 |
What is the relationship between the autocorrelation function Rxx(t1, t2) and the expected value of the product of X(t1) and X(t2)? |
Card: 39 / 40 |