baperbook
Newbie level 5
hi ,
i hope this the right forum for this type of questions:
please i really need help in solving this problem:
A random process is defined by x(t) = A cos(2*pi*f0*t+Φ), 0≦t≧T, where A and f0 are constants and Φ is uniformly distributed random variable in the range -pi≦Φ≧pi . Generate samples (at the rate fs=80kHz ) over a time interval of length T. Choose the signal length T so that you get about 900 to 1000 samples of the simulated analog signal x(t).
i)Plot the time signal with the function plot so that the samples are connected. Make sure that you label the time axis of the simulated analog signal.
ii)Find the autocorrelation of the signal and plot it.
iii)Find the Fourier transform of the autocorrelation and plot it.
i'll be thankful for any kind of help
i hope this the right forum for this type of questions:
please i really need help in solving this problem:
A random process is defined by x(t) = A cos(2*pi*f0*t+Φ), 0≦t≧T, where A and f0 are constants and Φ is uniformly distributed random variable in the range -pi≦Φ≧pi . Generate samples (at the rate fs=80kHz ) over a time interval of length T. Choose the signal length T so that you get about 900 to 1000 samples of the simulated analog signal x(t).
i)Plot the time signal with the function plot so that the samples are connected. Make sure that you label the time axis of the simulated analog signal.
ii)Find the autocorrelation of the signal and plot it.
iii)Find the Fourier transform of the autocorrelation and plot it.
i'll be thankful for any kind of help