Consider a discrete time signal \(y[n]=\frac{\sin (\pi n / 5)}{\pi n}+\cos (\pi n / 10) .\) Let's build the continuous time representation of \(y[n]\) using \(T_{s}=1 / 10\) as follows:
$$ y_{\delta}(t)=\sum_{n=-\infty}^{\infty} y[n] \delta\left(t-n T_{s}\right)=\sum_{n=-\infty}^{\infty} y[n] \delta(t-n / 10) $$
Choose the right expression for \(Y_{\delta}(j \omega)\).
(Hint: You can first sketch \(Y\left(e^{j \Omega}\right)\). Then, you can obtain the sketch of \(Y_{\delta}(j \omega)\) from \(Y\left(e^{j \Omega}\right)\). Note that in the earlier lecture on sampling, we derived that \(Y_{\delta}(j \omega)=\left.Y\left(e^{j \Omega}\right)\right|_{\Omega=\omega T_{x}}=Y\left(e^{j \omega T_{\nu}}\right)\).
In the past lectures and homework, we have practiced steps to obtain the plot of \(Y\left(e^{j \Omega}\right)\) from the plot of \(Y_{\delta}(j \omega)\) several times. You can reverse these steps to obtain the plot of \(Y_{\delta}(j \omega)\) from the plot of \(Y\left(e^{j \Omega}\right) .\) It will be easier to obtain the answer if you sketch the spectrums.)
(a) \(Y_{\delta}(j \omega)\) is \(20 \pi\)-periodic. For \(\omega \in[-10 \pi, 10 \pi], Y_{\delta}(j \omega)=\operatorname{rect}\left(\frac{\omega}{4 \pi}\right)+10 \pi \delta(\omega-\pi)+10 \pi \delta(\omega+\pi)\)
(b) \(Y_{\delta}(j \omega)\) is \(20 \pi\)-periodic. For \(\omega \in[-10 \pi, 10 \pi], Y_{\delta}(j \omega)=\operatorname{rect}\left(\frac{\omega}{4 \pi}\right)+\pi \delta(\omega-\pi)+\pi \delta(\omega+\pi)\).
(c) \(Y_{\delta}(j \omega)\) is \(20 \pi\)-periodic. For \(\omega \in[-10 \pi, 10 \pi], Y_{\delta}(j \omega)=10 \cdot \operatorname{rect}\left(\frac{\omega}{4 \pi}\right)+10 \pi \delta(\omega-\pi)+10 \pi \delta(\omega+\pi)\).
(d) \(Y_{\delta}(j \omega)\) is \(20 \pi\)-periodic. For \(\omega \in[-10 \pi, 10 \pi], Y_{\delta}(j \omega)=10 \cdot \operatorname{rect}\left(\frac{\omega}{4 \pi}\right)+10 \pi \delta(\omega-2 \pi)+10 \pi \delta(\omega+2 \pi)\)
Frequency-domain sampling. Consider the following discrete-time signal$$ x(n)= \begin{cases}a^{|n|}, & |n| \leq L \\ 0, & |n|>L\end{cases} $$where \(a=0.95\) and \(L=10\).(a) Compute and plot the signal \(x(n)\).(b) Show that$$ X(\omega)=\sum_{n=-\infty}^{\infty} x(n) e^{-j \omega n}=x(0)+2 \sum_{n-1}^{L} x(n) \cos \omega n $$Plot \(X(\omega)\) by computing it at \(\omega=\pi k / 100, k=0,1, \ldots, 100\).(c) Compute$$ c_{k}=\frac{1}{N} X\left(\frac{2 \pi}{N} K\right), \quad k=0,1, \ldots, N-1 $$for \(N=30\).(d) Determine and plot the signal$$ \tilde{x}(n)=\sum_{k=0}^{N-1} c k e^{j(2 \pi / N) k n} $$What is the...
Find the periodic solutions of the differential equations \((a) \frac{\mathrm{dy}}{\mathrm{dx}}+\mathrm{ky}=\mathrm{f}(\mathrm{x}),(b) \frac{\mathrm{d}^{3} \mathrm{y}}{\mathrm{d}^{3} \mathrm{x}}+\mathrm{ky}=\mathrm{f}(\mathrm{x})\)where \(k\) is a constant and \(f(x)\) is a \(2 \pi\) - periodic function.Consider a Fourier series expansion for \(f(x)\) using the complex form, \(f(x)=\sum_{n=-\infty}^{n=+\infty} f_{n} e^{i n x}\) and try a solution of the form \(y(x)=\sum_{n=-\infty}^{n=+\infty} y_{n} e^{i n x}\)
(2 points) The area \(A\) of the region \(S\) that lies under the graph of the continuous function \(f\) on the interval \([a, b]\) is the limit of the sum of the areas of approximating rectangles:$$ A=\lim _{n \rightarrow \infty}\left[f\left(x_{1}\right) \Delta x+f\left(x_{2}\right) \Delta x+\ldots+f\left(x_{n}\right) \Delta x\right]=\lim _{n \rightarrow \infty} \sum_{i=1}^{n} f\left(x_{i}\right) \Delta x $$where \(\Delta x=\frac{b-a}{n}\) and \(x_{i}=a+i \Delta x\).The expression$$ A=\lim _{n \rightarrow \infty} \sum_{i=1}^{n} \frac{\pi}{8 n} \tan \left(\frac{i \pi}{8 n}\right) $$gives the area of the function \(f(x)=\) on...
5. If \(f(x)=\left\{\begin{array}{cc}0 & -2<x<0 \\ x & 0<x<2\end{array} \quad\right.\)is periodio of period 4 , and whose Fourier series is given by \(\frac{a_{0}}{2}+\sum_{n=1}^{2}\left[a_{n} \cos \left(\frac{n \pi}{2} x\right)+b_{n} \sin \left(\frac{n \pi}{2} x\right)\right], \quad\) find \(a_{n}\)A. \(\frac{2}{n^{2} \pi^{2}}\)B. \(\frac{(-1)^{n}-1}{n^{2} \pi^{2}}\)C. \(\frac{4}{n^{2} \pi^{2}}\)D. \(\frac{2}{n \pi}\)\(\mathbf{E}_{1} \frac{2\left((-1)^{n}-1\right)}{n^{2} \pi^{2}}\)F. \(\frac{4}{n \pi}\)6. Let \(f(x)-2 x-l\) on \([0,2]\). The Fourier sine series for \(f(x)\) is \(\sum_{w}^{n} b_{n} \sin \left(\frac{n \pi}{2} x\right)\), What is \(b, ?\)A. \(\frac{4}{3 \pi}\)B. \(\frac{2}{\pi}\)C. \(\frac{4}{\pi}\)D. \(\frac{-4}{3 \pi}\)E. \(\frac{-2}{\pi}\)F. \(\frac{-4}{\pi}\)7. Let \(f(x)\) be periodic...
A discrete-time LTI system has the system function \(H(z)\) given below:$$ H(z)=\frac{z^{2}}{z^{2}-\frac{1}{4}} $$(a) Sketch the pole-zero plot for this system. How many possible regions of convergence (ROCs) are there for \(H(z)\). List the possible ROCs and indicate what type of sequence (left-sided, right-sided, two-sided, finite-length) they correspond to.(b) Which ROC (or ROCs) correspond to a stable system? Why?(c) Which ROC (or ROCs) correspond to a causal system? Why?(d) Write a difference equation that relates the input to the output of...
14. Solve the P.D.E.$$ \frac{\partial^{2} u}{\partial x^{2}}+\frac{\partial^{2} u}{\partial y^{2}}=0 ; u(x, 0)=u(0, y)=0, u(x, 1)=\pi, u(1, y)=2 \pi $$$$ \text { 令 } u(x, y)=\phi(x, y)+\varphi(x, y) $$$$ u(x, y)=\sum_{n=1}^{\infty} \frac{2}{n \sinh n \pi}\left[1-(-1)^{n}\right](\sinh n \pi y \sin n \pi x+2 \sinh n \pi x \sin n \pi y) $$
Suppose that \(\left(\xi_{j}\right)^{\infty}=1\) is a sequence of independent identically distributed \((i . i . d .)\) continuous random variables.- Suppose that each \(\xi_{i}\) has a probability density function \(p_{i}(x)=\left\{\begin{array}{c}\frac{\beta}{x^{x}}, x \geq 1 \\ 0, x<1\end{array}\right.\), where \(\alpha, \beta \in\)R.- Let \(S_{n}=\sum_{i=1}^{n} \xi_{i}\).- Let \(S_{n}=\frac{s_{n}-\operatorname{mE}\left(\xi_{0}\right)}{\sqrt{n} \operatorname{Var}(\mathcal{B})}\).a. Find a condition on \(\alpha\) and a condition on \(\beta\) (as a function of \(\alpha\) ) which together make \(f_{1}(x)\) a probability density function.b. Find conditions on \(\alpha\) which guarantee that \(\lim _{n \rightarrow \infty}...
Solve Laplace's equation, \(\frac{\partial^{2} u}{\partial x^{2}}+\frac{\partial^{2} u}{\partial y^{2}}=0,0<x<a, 0<y<b\), (see (1) in Section 12.5) for a rectangular plate subject to the given boundary conditions.$$ \begin{gathered} \left.\frac{\partial u}{\partial x}\right|_{x=0}=u(0, y), \quad u(\pi, y)=1 \\ u(x, 0)=0, \quad u(x, \pi)=0 \\ u(x, y)=\square+\sum_{n=1}^{\infty}(\square \end{gathered} $$
A certain FM signal is given by: \(s(t)=A_{c} \cos \left[2 \pi f_{c} t+2 \pi k_{f} \int_{0}^{t} m(\tau) d \tau\right]\). Estimate the bandwidth of \(s(t)\) using Carson's rule. Assume the spectrum of m(t) is given by:$$ \begin{array}{rr} M(f)=\operatorname{rect}(f) \text { and } \operatorname{rect}(f)=1 & -10 \mathrm{kHz} \leq f \leq 10 \mathrm{kHz} \\ \operatorname{rect}(f)=0 & |f| \geq 10 \mathrm{kHz} \end{array} $$Assume \(k_{f}=2 \mathrm{kHz} /\) volt. Also estimate the bandwidth using Figure 4.9. Compare your results.(Hint: Consider your response to question 5.) from...
A discrete-time signal x_d[n] has a Fourier transform X_d(e^j omega)with the property that X_d(e-j omega) = 0 for 3 pi/4 lessthanorequalto |omega| lessthanorequalto pi The signal is convened into a continuous-time signal x_c(t) = T sigma^infinity _n = -infinity X_d[n] sin pi/T (t - nT)/pi (t - nT), Where T = 10^-3 Determine the value of omega for which the Fourier transform X_c(j omega) of x_c(t) is guaranteed to be zero.