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 relation between the signals \(x(n)\) and \(\tilde{x}(n)\) ? Explain.
(e) Compute and plot the signal \(\tilde{x}_{1}(n)=\sum_{l=-\infty}^{\infty} x(n-l N),-L \leq n \leq L\) for \(N=30\).
Compare the signals \(\tilde{x}(n)\) and \(\tilde{x}_{1}(n)\).
(f) Repeat parts (c) to (e) for \(N=15\).
Let \(f(x)= \begin{cases}0 & \text { for } 0 \leq x<2 \\ -(4-x) & \text { for } 2 \leq x \leq 4\end{cases}\)- Compute the Fourier cosine coefficients for \(f(x)\).- \(a_{0}=\)- \(a_{n}=\)- What are the values for the Fourier cosine series \(\frac{a_{0}}{2}+\sum_{n=1}^{\infty} a_{n} \cos \left(\frac{n \pi}{4} x\right)\) at the given points.- \(x=2:\)- \(x=-3\) :- \(x=5:\)
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...
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...
1. Consider a geometric series of \(\sum_{n=1}^{\infty} g r^{n-1}\). Plot the \(\mathrm{n}\) -th term \(a_{n}\), and the partial sum \(s_{n}\) versus \(n\) under the following two conditions.i) with \(g=12\), and \(\mathrm{r}=2 / 3\),ii) with \(g=12\), and \(r=3 / 2\).Which of the (i) or (ii) converges? For the convergent one, approximate the total sum, i.e. \(\sum_{n=1}^{\infty} g r^{n-1}\) from your plot and draw a line on the plot to demonstrate this.2. Using the following inequality, find the value of \(\sum_{n=1}^{\infty} \frac{1}{n^{2}}\)...
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.$$ \begin{gathered} \left.\frac{\partial u}{\partial x}\right|_{x=0}=u(0, y), \quad u(\pi, y)=1 \\ u(x, 0)=0, \quad u(x, \pi)=0 \\ u(x, y)=\square+\sum_{n=1}^{\infty}(\square \end{gathered} $$
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 \(x(t)\)
(25 marks) Solve the following initial value problem using Fourier transform.$$ \begin{array}{l} u_{t}=u_{x x}, \quad-\infty< x <\infty, t= >0 \\ u(x, 0)=\left(1-2 x^{2}\right) e^{-4 x^{2}}, \quad-\infty< x <\infty \end{array} $$with \(u(x, t) \rightarrow 0\) and \(u_{x}(x, t) \rightarrow 0\) as \(x \rightarrow \pm \infty\).
Let X denote the amount of time a book on two-hour reserve is actually checked out, and suppose the CDF, cumulative density function, is the following:\(F(x)= \begin{cases}0 & x<0 \\ \frac{x^{2}}{4} & 0 \leq x \leq 2 \\ 1 & 2 \leq x\end{cases}\)Use the cumulative density function to obtain the following. (If necessary, round your answer to four decimal places.)(a) Calculate P(X ≤ 1).(b) Calculate P(0.5 ≤ x ≤ 1).(c) Calculate P(x>1.5).(d) What is the median checkout duration \tilde{μ} ?...
Cansider the series \(\sum_{n=1}^{\infty} a_{n}\) where$$ a_{n}=\frac{\left(6 n^{2}+2\right)(-7)^{n}}{5^{n+1}} $$In this problem you must attempt to use the Ratio Test to decide whether the series converges.Compute$$ L=\lim _{n \rightarrow \infty}\left|\frac{a_{n+1}}{a_{n}}\right| $$Enter the numerical value of the limit \(L\) if it converges, INF if it diverges to infinity, -INF if it diverges to negative infinity, or DIV if it diverges but not to infinity or negative infinity.L= _______Which of the following statements is true?A. The Ratio Test says that the series converges absolutely.B. The...
Let X denote the amount of time a book on two-hour reserve is actually checked out, and suppose the cdf is the following. \(F(x)= \begin{cases}0 & x<0 \\ \frac{x^{2}}{25} & 0 \leq x<5 \\ 1 & 5 \leq x\end{cases}\)Use the cdf to obtain the following. (If necessary, round your answer to four decimal places.)(a) Calculate P(X ≤ 2)(b) Calculate P(1.5 ≤ x ≤ 2).(c) Calculate P(X>2.5).(d) What is the median checkout duration \tilde{μ} ? [solve 0.5=F(\tilde{μ})].(e) Obtain the density function f(x).f(x)=F'(x)=(f)...