﻿ From definition (3.9b), find the inverse fourier transform of the spectra in fig. p3.1-6  , 20.06.2019 18:02, christabell0303

# From definition (3.9b), find the inverse fourier transform of the spectra in fig. p3.1-6 ### Other questions on the subject: Mathematics Physics, 05.07.2019 01:20, edailey7230
(a) use the fourier transform in 1-dimension, -) +00 1 (p)ep/h dp 27th and the inverse transform, +oo 1 (p) b(x)eipa/hdt 27th to prove the fourier integral theorem +o0 +oo 1 p(p')e(p-p)a/hdp'da 27th -oo (b) working in 1-dimension for simplicity, use (r) xp ()h x(x) to show that the position operator in momentum space is d Physics, 10.07.2019 23:30, ligittiger12806
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A) write a function that calculates the continuous time fourier transform of a periodic signal x (t). syntax: [w, x]- ctft(, x) the outputs to the function are: w = the frequencies in rad/s, and x = the continuous fourier transform of the signal the inputs to the function are: x- one period of the signal x(t), and t the time vector the continuous time fourier transform of a signal x(t) is given by: | x(t)e-jatdt x(a))= b) write a function that calculates the inverse continuous time fourier transform. the inverse continuous-time fourier transform is given by: 2π syntax: x ictft(t, w. x) the output to the function is: the signal x(t) the inputs to the function are: the time vector, w = the frequencies in rad/s, and x = the continuous fourier transform c) test both ofyour functions ctft and ictft with x(t) =sin(t) , where t =-50: 0.1 : 50, and use subplot to plot each of x(c), and the output of icft to verify its accuracy. label all plots and axes appropriately Engineering, 02.11.2019 04:31, 083055
Assume the system in problem 2. below is being excited by pure white noise (random excitation). solve the problem via fourier transforms (equations 12.44 and 12.45 in your textbook). take the fourier transform of the equation. the fourier transform of white noise is constant in the frequency domain. after solving for x(f), take the inverse fourier transform to obtain x(t). this solution is equivalent to another type of solution covered in the course. 2. a vibrating system has the following constants: w=40.6 lb, k=50lb/in., and c=0.40 lb/in. per sec. determine a) the damping factor, b) the natural frequency of damped oscillation, c) derive the frequency response function (frf) and plot it as a bode plot (matlab or excel) d) find the half power bandwidth, predict damping factor via the half power bandwidth.
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From definition (3.9b), find the inverse fourier transform of the spectra in fig. p3.1-6...

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