Question 3(6 pts): Obtain the Fourier Series representation for the signal when n-Ak when n=4k +...
d) [10] The figure below shows the Fourier series coefficients ak of the DT periodic signal x[n]. i. ii. [5] Use Parseval's relation to determine the average power of x[n]. [5] Let bx be the Fourier series coefficients of a DT signal y[n). Without computing x[n], determine bk in terms of ak if y[n] is related to x[n] by y[n] = ejinx[n] Plot bk for k=0,1,2, ... 7. ak 16
6) If a continuous-time periodic signal has the Fourier series coefficients ak, where k = 0, +1, +2, +3,..., derive the Fourier series coefficients bk of the following signals in terms of aki a) <(-t) b) x*(t) c) x(t – t.) where t, is a constant e) (t) dt In part e), assume that the average value of x(t) is zero.
A periodic signal x(t) is shown below. We want to find the Fourier Series representation for this signal. x(t) AA -4 -2 1 2 4 6 8 (a) Find the period (T.) and radian frequency (wo) of (t). (b) Find the Trigonometric Series representation of X(t). These include: (a) Fourier coefficients ao, an, and bn ; (b) complete mathematical Fourier series expression for X(t); and (c) first five terms of the series.
1. Let x[n] be a periodic sequence with period N with Fourier series representation x[n] = akek(34)n k=<N> Assume that N is even. Derive the expressions for the following signals (a) x[n] – x[n – (b) x[n] + x[n + 1 (Note that this signal is periodic with period ) (c) (-1)" x[n]
Let \(\left.x_{(} t\right)=\left\{\begin{array}{rr}t, & 0 \leq t \leq 1 \\ -t, & -1 \leq t \leq 0\end{array}\right.\), be a periodic signal with fundamental period of \(T=2\) and Fourier series coefficients \(a_{k}\).a) Sketch the waveform of \(x(t)\) and \(\frac{d x(t)}{d t}\) b) Calculate \(a_{0}\) c) Determine the Fourier series representation of \(g(t)=\frac{d x(t)}{d t}d) Using the results from Part (c) and the property of continuous-time Fourier series to determine the Fourier series coefficients of \(x(t)\)
Consider the discrete-time periodic signal n- 2 (a) Determine the Discrete-Time Fourier Series (DTFS) coefficients ak of X[n]. (b) Suppose that x[n] is the input to a discrete-time LTI system with impulse response hnuln - ]. Determine the Fourier series coefficients of the output yn. Hint: Recall that ejIn s an eigenfunction of an LTI system and that the response of the system to it is H(Q)ejfhn, where H(Q)-? h[n]e-jin
(b) Let X(ju) denote the Fourier transform of the signal r(t) shown in the figure x(t) 2 -2 1 2 Using the properties of the Fourier transform (and without explicitly evaluating X(jw)), ii. (5 pts) Find2X(jw)dw. Hint: Apply the definition of the inverse Fourier transform formula, and you can also recall the time shift property for Fourier Transform. (c) (5 pts) Fourier Series. Consider the periodic signal r(t) below: 1 x(t) 1 -2 ·1/4 Transform r(t) into its Fourier Series...
Problem 3 (a) Determine the Fourier series representation of the function By integrating each term of the series from 0 to x, find the Fourier series of function and use your result to deduce the exact value of the series (b) The Kronecker delta function, which depends on two variables m and n, is defined as 1 ifm=n The Kronecker delta function appears frequently in quantum mechanics, particularly in the plane waves basis description of single electron quantum states. Suppose...
Consider the following problems related to the exponential Fourier series. (a) The exponential Fourier series of a periodic signal x(t) of funda- 4.7 mental period To is 3 i. Determine the value of the fundamental period To ii. What is the average or dc value of x(t)? iii. Is x(t) even, odd, or neither even nor odd function of time? iv. One of the frequency components of x(t) is expressed as Acos(ST) 0- What is A? (b) A train of...
Problem 3: Let x(n) be an arbitrary signal, not necessarily real valued, with Fourier transform X (w). Express the Fourier transforms of the following signals in terms of X() (C) y(n) = x(n)-x(n-1) (d) v(n) -00x(k) (e) y(n)=x(2n) (f) y n even n odd , x(n/2), (n) 0 Problem 4: etermine the signal x(n) if its Fourier transform is as given in Fig. P4.12. X(a) 0 10 10 10 X(o) 0 X(a) Figure P4.12 Problem 3: Let x(n) be an...