3. Given the signal flow graph below determine the transfer matrix A where Aij = Yi/Xj. Note that Aij = Yi/Xj given that all other inputs equal to zero.are \left.\left[\begin{array}{l} Y_{1} \\ Y_{2} \end{array}\right]=\left[\begin{array}{ll} A_{11} & A_{12} \\ A_{21} & A_{22} \end{array}\right] \begin{array}{l} X_{1} \\ X_{2} \end{array}\right]

4 Find and sketch the Fourier transforms for the following signals. u(t)=(1-|t|) I_{[-1,1]}(t) v(t)=\operatorname{sinc}(2 t) \operatorname{sinc}(4 t) \text {. } \text { (c) } s(t)=v(t) \cos (200 \pi t) \text {. } (d) Classify cach of the signals in (a) (c) as baseband or passband.

A signal x(t) has a Fourier Transform given by X(\omega)=\frac{5(1+j \omega)}{8-\omega^{2}+6 j \omega} Without finding x(t), find the Fourier Transform of the following: а. х(t-3) b. x(4t) C. ei1.e12x(t) d. x(-2t)

1.Consider the coupled acoustic-mechanical system. The velocity of the masses are given by u and applied force by the variable f. The variables k represent the mechanical stiffness, M the mass and b the damping coefficient. The closed open pipe is filled with a fluid having mass density Po, sound speed c,cross sectional area A , length L. а. Using mobility analogy where the velocity as the "across" variable, determine the an equivalent circuit for the system. b. Determine the equations of motion in the Laplace-domain. c. Determine the equations of motion in the time-domain. d. Find the transfer function U2(s)/Uo(s).

. Obtain the Fourier Transform of the following functions \text { a. } x(t)=\left\{\begin{array}{l} e^{a t}, t<0 \\ e^{-a t}, t>0 \end{array}\right\} b. Signal shown below:

4. Given the system equations a. Using only amplifiers and integrators draw a signal-flow graph representation of the system where U(s) is the input and X2(s) is the output. You may assume zero initial conditions. b. Find the transfer function X2(s)/U(s) using Mason's Gain formula. Check your result using an algebraic approach. \frac{d x_{1}}{d t}=x_{1}+5 x_{2} \frac{d x_{2}}{d t}=2 x_{1}+u

Problem 2 Fourier transform analysis using Library of transforms. This is another Fourier transform analysis problem. Consider a one degree-of-freedom damped spring-mass system governed by the differential equation ÿ+2y+26y = 26u, where y is the position of the mass relative to it's equilibrium position and u is a force that is applied to the mass. The force input u is the same as the previous problem, i.e. (1). Solve for y on the time interval (-∞, ∞). Graph y on the interval [-3,3] second. Hint: Once ŷ is determined, use a partial fraction expansion and the "Library" from Homework 6 to reverse-engineer the time functions associated with the terms in the partial fraction expansion.

2. Let s be a periodic signal with period To = 2 and s(t)=\left\{\begin{array}{ll} -t(t-1) & 0 \leq t<1 \\ (t-1)(t-2) & 1 \leq t<2 \end{array}\right. ) Find the first, second, and third derivatives r = Ds, u= D²s, and v = D³s. s) Find the Fourier coefficients of each of the four signals: §, î, û, and û. :) (12 pts) For each of the four signals, compute the power with a time domain calculation and compute the power in frequencies ±1/2 (the positive and negative fundamental frequencies) with a frequency domain calculation. What fraction of the power is in the positive and negative fundamental frequencies? Express all answers both symbolically and with an approximate decimal representation.

1. (30 pts) For each of the following systems, determine whether it is linear and whether it is time-invariant. Justify your answers. If it is LTI, find the impulse response function h(t). Each system is specified by the output y that is produced from an input r. \text { (a) } y(t)=x(t+7) \text { (b) } y(t)=x(3 t) \text { (c) } y(t)=|x(10)| y(t)=\int_{-\infty}^{\infty} I_{[0,+\infty)}(t-\tau) \exp (\tau-t) x(\tau) d \tau y(t)=\int_{-\infty}^{\infty} \frac{1}{1+\tau^{2}} x(\tau-t) d \tau y(t)=\int_{-1}^{0}(\tau-1) x(t+\tau) d \tau y(t)=\min (1, \max (-1, x(t-4))) n) Let (a1,. , ak) be a vector of k nonnegative reals and let (T1,.., Tk) E R*. y(t)=\underset{x \in \mathbb{R}}{\operatorname{argmin}} \sum_{i=1}^{k} a_{j}\left(z-x\left(t-\tau_{i}\right)\right)^{2} The argmin, is the value of z (the argument) that minimizes the expression.

Problem 5 Pulse width modulation analysis of flywheel system. This problem extends the flywheel analysis of Problem 4. Pulse width modulation (PWM) is a common technique for specifying the moment applied by an electric motor. In PWM, the motor current is either "on" or "off" with the switching occurring with regularity (often called the repetition rate). This is done to maximize the efficiency of the amplifier. It is assumed that the moment created by the motor also follows the 3 current switching. The rapid switching of the moment is filtered by the inertia of the motor load (the flywheels in this problem) so that the angular velocities of the flywheels are a "smoothed" version of the moment. This problem explores these ideas in a quantitative manner. 1. The average value of a periodic signal 9 is defined (d, T- signal period Prove the following general result: if an asymptotically stable system is subjected to a periodic input, then Have (0) Ma (2) where (0) is the frequency response evaluated at -0, u is the periodic input and y is the periodic output. Refer to the graphs of fly, fly and fly from Problem 4 to see that they agree with (2). Also refer to Problem 3 to show its agreement with (2). Hist: Apply the "averaging operator" to the Fourier series representations of the input and output and note that t=0 for all 0 (recall -20/T). 2. Although the average value of f, can be specified according to (2) there can be considerable variation in the angular velocity about the mean value. Some applications require that the angular velocity not deviate too much from the mean value. A conservative upper limit on the period I will be derived that guarantees that a specified deviation from the mean value will not be exceeded. Consider these steps: (a) Consider the rectangular wave with period 7>0 and duty cycle a € [0, 1]. One period for t€ 0,7] is defined below: (1 teBar) (t)= 10 t€aTT) The duty cycle determines the duration that the input is "on" or "off" in one period: a-0 means - 0 for all t; a-1 means -1 for all t; a-0.5 means -1 for half the period and zero for the remaining half. Find the Fourier series coefficients, denoted (b) Determine an upper bound for ea, &0, where are the Fourier series coefficients of . This upper bound will have the index k. (e) Let Hy be the frequency response function associated with f. Find an approximation for H₁ for sufficiently large . "Sufficiently large" means the dominant terms in the numerator and denominator are the are the highest powers of ./nnumerator and denominator are the are the highest powers of us. (d) The Fourier series for fly can be written as - - Σκουλαρίκια 12(1) - +2ΣRe [8 (kuva) - +2 4 What is the relation between fave and a? Thus, conclude that over a certain range simply by selecting a. can be specified (e) Despite the relation between a and Shaw, the "ripple" in the angular velocity cannot be too large. Thus, consider the following sequence of bounds ||$21 (1) — £21,000| — | |-|(2Σe [ (int) Re 52 Rei ام و لا (س) 2 > (س) - Substitute the upper bound for a/T and the "high frequency" approximation of |H₂|- Then, do the sum to find an upper bound for (1) -- The period I should be a parameter. Hint: 1² (f) Based on the bound, determine the largest value of T so that f(t) — £₁,| ≤0.01. In other words, fly(t) is very close to its mean value. (g) Graph four periods of fly with the selected value of T and a(0.25, 0.5, 0.75). Use -1000,0,1000) in the partial sum of the Fourier series. The time grid can need to be customized. Select the time spacing in the grid, t, so that there are 1000 points per period. Show that the deviation of f(t) from he doe not exceed C all cases of a.