We are given the following information about a signal x(t) a) t) is real and odd....
Problem 32: (20 points) Consider a periodic signal f(t), with fundamental period To, that has the exponential Fourier series representation f(t) = Σ Dnejuont . where wo 2T/To and 1. (2 points) When f(t) is a real-valued, show that DD This is known as the complex conjugate symmetry property or the Hermitian property of real signals. 2. (2 points) Show that when f(t) is an even function of time that Dn is an even function of n 3. (2 points)...
3) (Symmetries and Fourier Coefficients) Compute the Fourier Series Coefficients a, b and XTk] for the following periodic repeating signals. Where appropriate, simplify the results for odd or even values of k. Note: You can not use the half-wave symmetry integrals if the half-wave symmetry is "hidden" (i.e. if there is a DC offset).] xft) Signal i x(t) Signal5 x(t) Signal 4 aeP O80 0.5 -1 4 8 I 2 4
3) (Symmetries and Fourier Coefficients) Compute the Fourier Series...
2. If x(t) is a real periodic signal with fundamental period T and Fourier series coefficients ak, show that if r(t) is even, then its Fourier series coefficients must be real and even. [10 points]
Given a real periodic signal X(t), if its combined trigonometric form is given as follow, what are the average value of the signal x(t) and Fourier Coefficients Cx, respectively? 8 x(t) = 2 + cos (kwyt +30°) kn 2 and 2 and 8 O and O and 8
Problem (3) a) A periodic square wave signal x(t) is shown below, it is required to answer the below questions: x(t) 1. What is the period and the duration of such a signal? 2. Determine the fundamental frequency. 3. Calculate the Trigonometric Fourier Series and sketch the amplitude spectrum and phase spectrum of the signal x(t) for the first 5 harmonics. b) Find the Continuous Time Fourier Series (CTFS) and Continuous Time Fourier Transform (CTFT) of the following periodic signals...
3) (Fourier Transforms Using Properties) - Given that the Fourier Transform of a signal x(t) is X(f) - rect(f/ 2), find the Fourier Transform of the following signals using properties of the Fourier Transform: (a) d(t) -x(t - 2) (d) h(t) = t x( t ) (e) p(t) = x( 2 t ) (f) g(t)-x( t ) cos(2π) (g) s(t) = x2(t ) (h)p()-x(1)* x(t) (convolution)
3) (Fourier Transforms Using Properties) - Given that the Fourier Transform of a signal...
A periodic signal, x(t) is shown below. A = 10, T-4 sec. -T Write a MATLAB script to plot the signal, using enough points to get a smooth curve. Compute the Fourier series coefficients for the signal (if you can find them in the text, that is ok). Plot the single-sided or double-sided spectra for each signal. Include enough frequencies in the plots to adequately represent the frequency content of the signals. Plot partial sums of the Fourier series for...
Let x(t) and y(t) be periodic signals with fundamental period T and Fourier coefficients αn and βn, respectively. Use the properties of Fourier series and find the Fourier series coefficients of the following signals in terms of@n, βn, or both. a) V,(t) = x(t-to) + x(t + to) b) yb (t) = 2x(t-1) + 3y(t-1) c) ye(t) = x(-t) + x(-t-to) d) ya(t)=x(t)y(t) 1.
4. Consider the signal co(t) = et, 0<t<1 , elsewhere Determine the Fourier transform of each of the signals shown in Figure 2. You should be able to do this by explicitly evaluating only the transform of co(t) and then using properties of the Fourier transform. X(t) X2(t) Xolt) Xp(t) -Xol-t) X3(t) Xolt +1) X4(t) Xolt) txo(t) My Lane 1 0
A signal x(t) is defined as; 3 0 -0.2 <t < 0.2 - 1.8<t< -0.2 To implement Fourier Series (t)---> (ults) -1 1 0 t---> (sec) (ii) To= Wo=- Do- Dn= Sketch D vs nw.. (vi) Sketch <D, (e.) vs nw.. (vii) Power of r(t) = (viii) Express x(t) as sum of Sine Waves, Cosine waves and DC (ix) Show that the expression found in part(viii) is real