function [gain]=batman (f)%function [gain]=batman (f)%% produces the batman function% f - normalized frequencies between -1 and 1% gain value of the function at each value of fx=8*f(:);Nx=length(x);for k=1: Nxif x(k) < -7y(k)=0;elseif x(k) < -3y(k)=3*sqrt(1-(x(k)/7)^2);elseif x(k) < -1y(k)=6*sqrt(10)/7+1.5-abs(x(k))/2-6*sqrt(10)*sqrt(4-(abs(x(k))-1)^2)/14;elseif x(k) < -0.8y(k)=10* (x(k)+1)+1;elseif x(k) < -0.5endgain=y;y(k)=-0.8* (x(k)+0.8)/0.3+3;elseif x(k) < 0.5y (k)=2.2;elseif x(k) < 0.8y(k)=0.8* (x(k)-0.5)/0.3+2.2;elseif x(k) < 1y(k)=10*(-x(k)+1)+1;elseif x(k) < 3y(k)=6*sqrt (10)/7+1.5-abs(x(k))/2-6*sqrt(10)*sqrt(4-(abs(x(k))-1)^2)/14;elseif x(k) < 7y(k)=3*sqrt(1-(x(k)/7)^2);elseendy(k)=0; 2. Use frequency sampling to design a filter b[n] that approximates the "batman" frequency responseB(e) in the figure below. What are the fewest number of samples needed to get a good representationof the filter? The value of B(e) for any w can be found using the function batman.m on the Canvashomepage. (Note that batman.m provides the actual gain, not the gain in dB).3toisAmplitude2.520.50-1-0.8-0.6-0.4-0.20.2Normalized Frequency00.40.60.81

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Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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Fill in the K-maps below for the functions X = A + C, Y = B + D, and Z = (A + C)(B + D). a. АВ Y АВ АВ 00 01 11 10 00 01 11 10 00 01 11 10 00 00 00 01 01 01 CD CD CD 11 11 11 10 10 10
What is the simplified version of the four-variable K-map for the following expression F(w, x, y, z) = Σ(11, 12, 13, 14, 15) Select one: Oa. F = w'x + wyz b. OC. F = wx + wyz'X F = WX + wyz Od. Fwx' + wyz
Write the code in python to define the function has_adjacent_repeats(mystr), which takes a string parameter and returns a boolean result. - If mystr has at least one instance of adjacent characters being equal, return True - Otherwise, return False Hint: You can iterate over the positive indices i for characters in mystr: 1, 2, 3, ...., len(mystr)-1 with a for loop. For each i, if the character at index i matches the character at index i - 1, return True. Otherwise, if no doubled character is found in the entire string, return False. For example: Test Result if not (has_adjacent_repeats("NOODLES") is True): print("error") if not (has_adjacent_repeats("Bananas") is False): print("shwoopsie") if not (has_adjacent_repeats("Hanoverr") is True): print("error")
6. Plot the following function on the K-map: f = bd' + a'bd + + ab'cd'. You have to circle each rectangle that represents a product term in the function and pull a line from each rectangle to specify the corresponding term.
Q3/ Give A B and AB for the following set ( 0 ° 0 0 0 1 1 1 0 1 1 1 0 1 1 1 O ° 0 0 O O 0 0 Input matrix Structuring element
As a matter of fact, the Wiener filter is most popular filter and is used for restoration. The main limitation of the earlier discussed methods viz., Inverse filtering and Pseudo-Inverse filtering is that they are sensitive to noise (The Wiener filter exploits the statistical properties of the image and can be used to restore images in the presence of blur as well as noise. Let f(x, y), g(x, y) and f(x, y) be zero mean random sequences. Zero-mean sequences imply E[f(x, y)] = 0, E[g(x, y)] = 0 and E[f(x, y)] = 0. Similarly, stationary sequences can be defined in terms of correlation as under: E[ƒ (x, y).ƒ (i, j)]=rf ( x − i, y − 1) | E[g (x, y).g (i, j)] = rgg (x-i, y-j) f 88 → Auto correlation Elf (x, y). g(i, j)] = g(x-i, yj) → cross correlation The zero mean image model is given by the following expression. List the major drawbacks of Wieners filter.
on input a' replace X with y y can be: {(Go. q1. q2). (a. b), (Z S, A. B), 8. 96, Z, q - Consider the PDA (Go. qi. q). (a. b). (Z S. A. B), 5, qo. Z 1. S(go, E, Z) = {( qo, SZ)} 2. S(q1, a, S) = {(q, SA) ( qi,E)} 3. S(q1, b, A) = {( 9,B)} 4. 6q1, b,B) = {( 91, 8)} 5. Sqı, E, Z) = {( 92, E)} %3D state which 'S' is placed on Z.
Write a MATLAB function linearSearch.m. Your MATLAB function should take as parameters an unsorted list of non-negative integers, and an integer value, and returns the index where that value is first located in the list. (No argument testing is required.) If the value is not in the array, your MATLAB function should return the value -1 if the value is not found. Test Expected x = [6 4 8 1 0 3 12 9 8 15]; disp(linearSearch(x,6)) 1
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Write the MATLAB commands that assign 33 and 4 to the variables a and b, respectively. Then, create a column vector W with the elements а! In(ab) Vb - a V(a + b)² – (b – a)? -a b where y! is the factorial of y, for which you should use a built-in MATLAB function, and In(x) is the natural logarithm of x. Finally, compute the average of the elements in W.

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