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Problem 1: Random variables Y, and Y, are uncorrelated. We want a linear minimum mean- square...
Problem 3 Consider the linear MMSE estimator to the case where our estimation of a random variable Y is based on ob...
Problem 3 Consider the linear MMSE estimator to the case where our estimation of a random variable Y is based on observations of multiple random variables, say XXX. Then, our linear MMSE estimator can be e written in the following fom: (a) Show that the optimal values of aa,a.a for the linear LMSE estimator is given as where E(X, a, Cxx is an covariance matrix of X,,X,...Xv and cxy is a cross-correlation vector, which is defined as E(x,r EtXyY (b)...
asap plz The joint probability density function of random variables X and Y is given by,...
asap plz
The joint probability density function of random variables X and Y is given by, otherwise a. Find k b. Find the best (non-linear) minimum mean squared error (MMSE) estimator for Y given X-r. 20]
1) Let X and Y be random variables. Show that Cov( X + Y, X-Y) Var(X)--Var(Y)...
1) Let X and Y be random variables. Show that Cov( X + Y, X-Y) Var(X)--Var(Y) without appealing to the general formulas for the covariance of the linear combinations of sets of random variables; use the basic identity Cov(Z1,22)-E[Z1Z2]- E[Z1 E[Z2, valid for any two random variables, and the properties of the expected value 2) Let X be the normal random variable with zero mean and standard deviation Let ?(t) be the distribution function of the standard normal random variable....
1. (Hint: This pmf should look familiar) Random variables X and Y have joint probability mass...
1. (Hint: This pmf should look familiar) Random variables X and Y have joint probability mass function (IPMI): otherwise. (a) Find Fx,y(x, y), the joint cumulative distribution function (CDF) of X and Y. A graphical repre- sentation is sufficient: probably the best way to do this is to draw the x - y plane and label different regions with the value of Fx,y(x, y) in that region. (b) Let Z = X2 + Y2. Find the probability mass function (PMF)...
Problem 8.2 X Y Discrete random variables X, Y have joint pmf given in the table...
Problem 8.2 X Y Discrete random variables X, Y have joint pmf given in the table to the right, where X takes values in {1,2,3,4} and Y takes values in {1,2,3). 2 3 1 2 3 0. 100.3 0 0.2 0.1 0 0.05 0.1 0 0.1 0.05 (e) Compute the MAP estimate of X given the observation Y = 2. Compute the posterior probabiity of error of this estimate, given that Y = 2. (f) Compute the MMSE estimate of...
Two random variables are jointly distributed with joint pdf given by: = 0, elsewhere a) Find the value of K? b) Find the best LMMSE of Y. what is the MMSE error in this case? c) Find the best MMSE es...
Two random variables are jointly distributed with joint pdf given by: = 0, elsewhere a) Find the value of K? b) Find the best LMMSE of Y. what is the MMSE error in this case? c) Find the best MMSE estimator of Y? d) What is minimum mean square error of Y given that x -1
Two random variables are jointly distributed with joint pdf given by: = 0, elsewhere a) Find the value of K? b) Find the best...
Random variables X and Y have joint probability mass function (PMF):
Random variables \(X\) and \(Y\) have joint probability mass function (PMF):\(P_{X, Y}\left(x_{k}, y_{j}\right)=P\left(X=x_{k}, Y=y_{j}\right)= \begin{cases}\frac{1}{20}\left|x_{k}+y_{j}\right|, & x_{k}=-1,0,1 ; y_{j}=-3,0,3 \\ 0, & \text { otherwise }\end{cases}\)(a) Find \(F_{X, Y}(x, y)\), the joint cumulative distribution function (CDF) of \(X\) and \(Y\). A graphical representation is sufficient: probably the best way to do this is to draw the \(x-y\) plane and label different regions with the value of \(F_{X, Y}(x, y)\) in that region.(b) Let \(Z=X^{2}+Y^{2}\). Find the probability mass function (PMF)...
Random variables X and Y have the means and standard deviations as given in the table...
Random variables X and Y have the means and standard deviations as given in the table to the right and Cov(X.Y)-12.500 Use these parameters to find the and Y. Complete parts (a) through (d) sox-100)-□ (a) E(BX- 100)- Round to two decimal places as needed.) Round to two decimal places as needed) (c) Ex+Y)- Round to two decimal places as needed) Round to two decimal places as needed ) eters to find the expected value and SD of the following...
2. The joint pdf of random variables X and Y is given by f(x.y) k if...
2. The joint pdf of random variables X and Y is given by f(x.y) k if 0 sysxs2 and f(x,y)-0 otherwise. a. Find the value of k b. Find the marginal pdfs of X and Y. Are X and Y independent? c. Find Covariance (X,Y) and Correlation(X,Y). Why cannot we say that X and Y have linear relation Yea X+ b, where a and b are real numbers?
The joint pdf of random variables X and Y is given by f(x.y)-k if 0 s...
The joint pdf of random variables X and Y is given by f(x.y)-k if 0 s y sx s 2 and f(x,y) =0 otherwise. a. Find the value of k b. Find the marginal pdfs of X and Y. Are X and Y independent? c. Find Covariance (X,Y) and Correlation(X,Y). Why cannot we say that X and Y have linear relation Y-a X+ b, where a and b are real numbers?
Problem 3 Consider the linear MMSE estimator to the case where our estimation of a random variable Y is based on observations of multiple random variables, say XXX. Then, our linear MMSE estimator can be e written in the following fom: (a) Show that the optimal values of aa,a.a for the linear LMSE estimator is given as where E(X, a, Cxx is an covariance matrix of X,,X,...Xv and cxy is a cross-correlation vector, which is defined as E(x,r EtXyY (b)...
asap plz
The joint probability density function of random variables X and Y is given by, otherwise a. Find k b. Find the best (non-linear) minimum mean squared error (MMSE) estimator for Y given X-r. 20]
1) Let X and Y be random variables. Show that Cov( X + Y, X-Y) Var(X)--Var(Y) without appealing to the general formulas for the covariance of the linear combinations of sets of random variables; use the basic identity Cov(Z1,22)-E[Z1Z2]- E[Z1 E[Z2, valid for any two random variables, and the properties of the expected value 2) Let X be the normal random variable with zero mean and standard deviation Let ?(t) be the distribution function of the standard normal random variable....
1. (Hint: This pmf should look familiar) Random variables X and Y have joint probability mass function (IPMI): otherwise. (a) Find Fx,y(x, y), the joint cumulative distribution function (CDF) of X and Y. A graphical repre- sentation is sufficient: probably the best way to do this is to draw the x - y plane and label different regions with the value of Fx,y(x, y) in that region. (b) Let Z = X2 + Y2. Find the probability mass function (PMF)...
Problem 8.2 X Y Discrete random variables X, Y have joint pmf given in the table to the right, where X takes values in {1,2,3,4} and Y takes values in {1,2,3). 2 3 1 2 3 0. 100.3 0 0.2 0.1 0 0.05 0.1 0 0.1 0.05 (e) Compute the MAP estimate of X given the observation Y = 2. Compute the posterior probabiity of error of this estimate, given that Y = 2. (f) Compute the MMSE estimate of...
Two random variables are jointly distributed with joint pdf given by: = 0, elsewhere a) Find the value of K? b) Find the best LMMSE of Y. what is the MMSE error in this case? c) Find the best MMSE estimator of Y? d) What is minimum mean square error of Y given that x -1
Two random variables are jointly distributed with joint pdf given by: = 0, elsewhere a) Find the value of K? b) Find the best...
Random variables X and Y have the means and standard deviations as given in the table to the right and Cov(X.Y)-12.500 Use these parameters to find the and Y. Complete parts (a) through (d) sox-100)-□ (a) E(BX- 100)- Round to two decimal places as needed.) Round to two decimal places as needed) (c) Ex+Y)- Round to two decimal places as needed) Round to two decimal places as needed ) eters to find the expected value and SD of the following...
2. The joint pdf of random variables X and Y is given by f(x.y) k if 0 sysxs2 and f(x,y)-0 otherwise. a. Find the value of k b. Find the marginal pdfs of X and Y. Are X and Y independent? c. Find Covariance (X,Y) and Correlation(X,Y). Why cannot we say that X and Y have linear relation Yea X+ b, where a and b are real numbers?
The joint pdf of random variables X and Y is given by f(x.y)-k if 0 s y sx s 2 and f(x,y) =0 otherwise. a. Find the value of k b. Find the marginal pdfs of X and Y. Are X and Y independent? c. Find Covariance (X,Y) and Correlation(X,Y). Why cannot we say that X and Y have linear relation Y-a X+ b, where a and b are real numbers?
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