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Use the spectral density formula for linear filters to compute the spectral density for y(t) =...
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....
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. Hint : Use Parseval's relationship if necessary i(t) e. What is the input signal-o-oise (SNR,ratio, defined as: SNR, 1olog..C)as polnts d. Find the output power spectral density of noise N,00 N,( HP, where HU) is the frequency response of the circuit, and N,(n)...
Problem 4 Let X(t), a continuous-time white noise process with zero mean and power spectral density equal to 2, be the...
Problem 4 Let X(t), a continuous-time white noise process with zero mean and power spectral density equal to 2, be the input to an LTI system with impulse response h(t)- 0 otherwise of Y (t). Sketch the autocorrelation function of Y(t)
Problem 4 Let X(t), a continuous-time white noise process with zero mean and power spectral density equal to 2, be the input to an LTI system with impulse response h(t)- 0 otherwise of Y (t). Sketch the autocorrelation function...
Consider the RC circuit shown below. Assume that R=(0.1)2 and C=(0.1)F 3. R i(t) y (t)...
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)...
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 autoc...
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...
1. Consider a moving average MA(2) model: y(t) = e(t) +belt-1) + b,elt-2) Assume that the...
1. Consider a moving average MA(2) model: y(t) = e(t) +belt-1) + b,elt-2) Assume that the noise e(t) has is i.i.d. with variance = 1. (a) Compute the autocorrelation process r(k) for y(t). (b) Compute the PSD of y(t). (Hint: 12.4 +e=24 = 2 cos(24)) (c) Plot the spectral density from part (b) for at least FOUR different combinations of (b1,b2), where b and b take either positive or negative values. (d) Comment on where the peaks of the PSD...
The input r(t) to a DSBSC receiver is a DSB signal s(t) = A m(t)cos (21fet)...
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...
Channel with noise power spectral density Sn (f) 1. No/2 a. Compute the signal to noise ratio (Eb...
channel with noise power spectral density Sn (f) 1. No/2 a. Compute the signal to noise ratio (Eb/No b. Obtain the optimum matched filter impulse response. c. Assuming equally likely transmission, devise the optimum decision device. d. lextral Compute the probability of error in terms ofy Eb/No- S2(0) S1(t) T t T/27/2 7
channel with noise power spectral density Sn (f) 1. No/2 a. Compute the signal to noise ratio (Eb/No b. Obtain the optimum matched filter impulse response. c....
Problem 5 (LSM5) (20 pts) A WSS noise process z(t) with power spectral density Ser(ju) VAre is passed through an LTI system with frequency response H(ju) 2 Denote the output of the systeru by y(t)...
Problem 5 (LSM5) (20 pts) A WSS noise process z(t) with power spectral density Ser(ju) VAre is passed through an LTI system with frequency response H(ju) 2 Denote the output of the systeru by y(t). Determine the following: (a) The correlation function R ) of r; (b) The power P, of a; (c) The power spectral density Sy ju) of y. Note:
Problem 5 (LSM5) (20 pts) A WSS noise process z(t) with power spectral density Ser(ju) VAre is passed...
1.x(t) =Aexp((-t^2)/T^2) (T>0) (a) Energy Spectral Density (b)Autocorrelation Function y(t)=x(t)cos(2m/t) (1) Energy spectral Density 1.x(t) =Aexp((-t^2)/T^2) (T>0) (a) Energy Spectral...
1.x(t) =Aexp((-t^2)/T^2) (T>0) (a) Energy Spectral Density (b)Autocorrelation Function y(t)=x(t)cos(2m/t) (1) Energy spectral Density
1.x(t) =Aexp((-t^2)/T^2) (T>0) (a) Energy Spectral Density (b)Autocorrelation Function y(t)=x(t)cos(2m/t) (1) Energy spectral Density
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. Hint : Use Parseval's relationship if necessary i(t) e. What is the input signal-o-oise (SNR,ratio, defined as: SNR, 1olog..C)as polnts d. Find the output power spectral density of noise N,00 N,( HP, where HU) is the frequency response of the circuit, and N,(n)...
Problem 4 Let X(t), a continuous-time white noise process with zero mean and power spectral density equal to 2, be the input to an LTI system with impulse response h(t)- 0 otherwise of Y (t). Sketch the autocorrelation function of Y(t)
Problem 4 Let X(t), a continuous-time white noise process with zero mean and power spectral density equal to 2, be the input to an LTI system with impulse response h(t)- 0 otherwise of Y (t). Sketch the autocorrelation function...
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...
1. Consider a moving average MA(2) model: y(t) = e(t) +belt-1) + b,elt-2) Assume that the noise e(t) has is i.i.d. with variance = 1. (a) Compute the autocorrelation process r(k) for y(t). (b) Compute the PSD of y(t). (Hint: 12.4 +e=24 = 2 cos(24)) (c) Plot the spectral density from part (b) for at least FOUR different combinations of (b1,b2), where b and b take either positive or negative values. (d) Comment on where the peaks of the PSD...
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...
channel with noise power spectral density Sn (f) 1. No/2 a. Compute the signal to noise ratio (Eb/No b. Obtain the optimum matched filter impulse response. c. Assuming equally likely transmission, devise the optimum decision device. d. lextral Compute the probability of error in terms ofy Eb/No- S2(0) S1(t) T t T/27/2 7
channel with noise power spectral density Sn (f) 1. No/2 a. Compute the signal to noise ratio (Eb/No b. Obtain the optimum matched filter impulse response. c....
Problem 5 (LSM5) (20 pts) A WSS noise process z(t) with power spectral density Ser(ju) VAre is passed through an LTI system with frequency response H(ju) 2 Denote the output of the systeru by y(t). Determine the following: (a) The correlation function R ) of r; (b) The power P, of a; (c) The power spectral density Sy ju) of y. Note:
Problem 5 (LSM5) (20 pts) A WSS noise process z(t) with power spectral density Ser(ju) VAre is passed...
1.x(t) =Aexp((-t^2)/T^2) (T>0) (a) Energy Spectral Density (b)Autocorrelation Function y(t)=x(t)cos(2m/t) (1) Energy spectral Density
1.x(t) =Aexp((-t^2)/T^2) (T>0) (a) Energy Spectral Density (b)Autocorrelation Function y(t)=x(t)cos(2m/t) (1) Energy spectral Density
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