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Consider an arbitrary rectangle. A second, smaller rectangle, is created by t rectangle and scali...
Consider a random sample .X, from a distribution with log-normal pdf (density function): for t 0...
Consider a random sample .X, from a distribution with log-normal pdf (density function): for t 0 and 0 otherwise. Both μ and σ 0 are unknown parameters. Find the method of moments estimates μ and σ. Hint: computing moments, change of variable y = Int might be useful.
a can be skipped Consider the following second-order ODE representing a spring-mass-damper system for zero initial...
a can be skipped
Consider the following second-order ODE representing a spring-mass-damper system for zero initial conditions (forced response): 2x + 2x + x=u, x(0) = 0, *(0) = 0 where u is the Unit Step Function (of magnitude 1). a. Use MATLAB to obtain an analytical solution x(t) for the differential equation, using the Laplace Transforms approach (do not use DSOLVE). Obtain the analytical expression for x(t). Also obtain a plot of .x(t) (for a simulation of 14 seconds)...
Consider a random process X(t) defined by X(t) - Ycoset, 0st where o is a constant 1. and Y is a uniform random variabl...
Consider a random process X(t) defined by X(t) - Ycoset, 0st where o is a constant 1. and Y is a uniform random variable over (0,1) (a) Classify X(t) (b) Sketch a few (at least three) typical sample function of X(t) (c) Determine the pdfs of X(t) at t 0, /4o, /2, o. (d) EX() (e) Find the autocorrelation function Rx(t,s) of X(t) (f) Find the autocovariance function Rx(t,s) of X(t)
Consider a random process X(t) defined by X(t) -...
Problem 5. Consider the following second order linear differential equation f"(t)-f'(t) +f(t) kt ...
Problem 5. Consider the following second order linear differential equation f"(t)-f'(t) +f(t) kt which models a forced oscillation in a damping material. For example, imagine moving your hand back and forth underwater. Write this equation as a set of coupled first order equations by doing the following: ·Define a new function g = f'(t). This gives you one of the two coupled equations. . Use the given ODE, g, and its derivatives to write the second first order equation. Both...
Consider two random processes X(t) and Y(t) defined as X(t)=Acos(wot+z), Y(t)=Bsin(wo+z) where A and B and...
Consider two random processes X(t) and Y(t) defined as X(t)=Acos(wot+z), Y(t)=Bsin(wo+z) where A and B and wo are constants and z is a random variable that is uniformly distributed between 0 and 2pi. find the cross-correlation function of X(t) and Y(t). If both X(t) and Y(t) were wide sense stationary , could they also be jointly wide sense stationary?
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...
Consider the following problem: Section II Con n a truth function f, find a statement S, only int...
Consider the following problem: Section II Con n a truth function f, find a statement S, only intolring the connecti e, ^,V and whose trva function is j. (a) Exhibit an algorithm that solves this problem. (b) Applied the exhibited algorithm to the truth function, 1 given by: TITIT (c) Suppose that the truth function f has n arguments represented by the variables i Consider the first algorithm studied in class to solve the problem of item (a). Let 01,92,.......
(D Consider asa ohetical hiased colss are tosed. The probability table of "y showing its posible...
(D Consider asa ohetical hiased colss are tosed. The probability table of "y showing its posible valuos and their probabilities is given beo a discrete randoes variable "Y" that represents the nomber of heads when t Cakulate the expected number of heads, eELY (b) 0.33 (o) 1.25 (d) 2 (2) Consider a discrete rardom variable·X' that can assume only three pos IfPX-0)-0.23 and P(X-I)-042. What is PAIX-2) ible values, X-a 1, 2. (a) 0.65 (b) 0.84 0.35 (d) 0.25 (3)...
Making a rectangle class in java write a simple class that will represent a rectangle. Later...
Making a rectangle class in java write a simple class that will represent a rectangle. Later on, we will see how to do this with graphics, but for now, we will just have to use our imaginations for the visual representations ofWthe rectangles. Instance Variables Recall that an object is constructed using a class as its blueprint. So, think about an rectangle on your monitor screen. To actually draw a rectangle on your monitor screen, we need a number of...
Consider a random sample .X, from a distribution with log-normal pdf (density function): for t 0 and 0 otherwise. Both μ and σ 0 are unknown parameters. Find the method of moments estimates μ and σ. Hint: computing moments, change of variable y = Int might be useful.
a can be skipped
Consider the following second-order ODE representing a spring-mass-damper system for zero initial conditions (forced response): 2x + 2x + x=u, x(0) = 0, *(0) = 0 where u is the Unit Step Function (of magnitude 1). a. Use MATLAB to obtain an analytical solution x(t) for the differential equation, using the Laplace Transforms approach (do not use DSOLVE). Obtain the analytical expression for x(t). Also obtain a plot of .x(t) (for a simulation of 14 seconds)...
Consider a random process X(t) defined by X(t) - Ycoset, 0st where o is a constant 1. and Y is a uniform random variable over (0,1) (a) Classify X(t) (b) Sketch a few (at least three) typical sample function of X(t) (c) Determine the pdfs of X(t) at t 0, /4o, /2, o. (d) EX() (e) Find the autocorrelation function Rx(t,s) of X(t) (f) Find the autocovariance function Rx(t,s) of X(t)
Consider a random process X(t) defined by X(t) -...
Problem 5. Consider the following second order linear differential equation f"(t)-f'(t) +f(t) kt which models a forced oscillation in a damping material. For example, imagine moving your hand back and forth underwater. Write this equation as a set of coupled first order equations by doing the following: ·Define a new function g = f'(t). This gives you one of the two coupled equations. . Use the given ODE, g, and its derivatives to write the second first order equation. Both...
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...
Consider the following problem: Section II Con n a truth function f, find a statement S, only intolring the connecti e, ^,V and whose trva function is j. (a) Exhibit an algorithm that solves this problem. (b) Applied the exhibited algorithm to the truth function, 1 given by: TITIT (c) Suppose that the truth function f has n arguments represented by the variables i Consider the first algorithm studied in class to solve the problem of item (a). Let 01,92,.......
(D Consider asa ohetical hiased colss are tosed. The probability table of "y showing its posible valuos and their probabilities is given beo a discrete randoes variable "Y" that represents the nomber of heads when t Cakulate the expected number of heads, eELY (b) 0.33 (o) 1.25 (d) 2 (2) Consider a discrete rardom variable·X' that can assume only three pos IfPX-0)-0.23 and P(X-I)-042. What is PAIX-2) ible values, X-a 1, 2. (a) 0.65 (b) 0.84 0.35 (d) 0.25 (3)...
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