Find the power of the signal conponent of a P is the Fourice t of s,(0)(2.5 points) edf,where S.f density of pu nose (2.5 points) . Consider the RL circuit shown below. Assume that R-10 and L-IN....
Consider the RC circuit shown below. Assume that R=(0.1)2 and C=(0.1)F 3. R i(t) y (t) x(t) The input to this circuit is given as x(t) s(t)+ny (t), where the noise component of input, n(t), is a sample function realization of white noise process with an autocorrelation function given by Rpx(t) 8(T), and s (t) cos(6Tt) is the signal component of input. IS(fOI df, where S( a. Find the power of the signal component of input, Ps is the Fourier...
Consider the RC circuit shown below. Assume that R=(0.1)2 and C=(0.1)F 3. R i(t) y (t) x(t) The input to this circuit is given as x(t) s(t)+ny (t), where the noise component of input, n(t), is a sample function realization of white noise process with an autocorrelation function given by Rpx(t) 8(T), and s (t) cos(6Tt) is the signal component of input. IS(fOI df, where S( a. Find the power of the signal component of input, Ps is the Fourier...
Q.2 ICO2]10 Marks] The signal g(t) forms the input to the LPF circuit shown in the figure, where R l,and y(Dis the output. If the power spectral density (PSD) of the signal ge) is (a) The autocorrelation of g(t) (b) The 3-dB bandwidth of the LPF (c) The power of g(t) and y(t) (d) Based on your answers above, will it be better if the signal has more or less bandwith? (e) If a white noise of PSD No/2 is...
The input r(t) to a DSBSC receiver is a DSB signal s(t) = A m(t)cos (21fet) corrupted by additive white Gaussian noise with two-sided power spectral density N,/2, where No = 10-12 W/Hz, m(t) is a message signal bandlimited to 10 kHz. Average power of m(t) is Pm = 4 W and Ac = 2 mV. The block diagram of the receiver is shown below. Note that the receiver has filters which have slightly larger bandwidths than a typical DSB...
4. (8 points) A noise signal ni(t) with power spectrum density (PSD) S () = k ) is applied at the input of an deal differentiator. Determine the PSD and the power of the output noise signal no(t) (hint: no(t) = 0).
Power Spectral Density of Signal A signal s(t) can be expressed as the following equation: L-1 where L is a positive integer. {An}n=0 are independent and identically distributed (i.i.d.) discrete random variables. The probability mass function (PMF) of An is An() 0 otherwise, where A is a positive constant in volt. To is a uniformly distributed random variable with probability density function (PDF) defined by 0. otherwise. L-1 To and {An}n=d are independent. The signal p(t) is a pulse and...
(25 points) A binary communication system transmits signals s,(0) (i1,2). The receiver samples the received signal r(t) s,()+n(t) at T and obtain the decision statistic r-r(T) s,(T)+ n(T)-a, +n, where the signal component is either a, = +A or a,--A with A >0 and n is the noise component. Assume that s (t) and s,() are equally likely to be transmitted and the decision threshold is chosen as zero. If the noise component n is uniformly distributed over [-2, +2]...
(25 points) A binary communication system transmits signals s,(0) (i1,2). The receiver samples the received signal r(t) s,()+n(t) at T and obtain the decision statistic r-r(T) s,(T)+ n(T)-a, +n, where the signal component is either a, = +A or a,--A with A >0 and n is the noise component. Assume that s (t) and s,() are equally likely to be transmitted and the decision threshold is chosen as zero. If the noise component n is uniformly distributed over [-2, +2]...
3. (40 points) A binary communication system transmits signals s (0) (i = 1, 2). The receiver samples the received signal r(t) = s(t)+ n(t) at T and obtain the decision statistic r =r(T) = S(T) + n(T) = a, un, where the signal component is either a = + A or a, = -A with A >0 and n is the noise component. Assume that s (6) and s(l) are equally likely to be transmitted and the decision threshold...