Question

This is taken from Section 4.6, "Amplitude Modulation and the Continuous-Time Fourier Transform," in the course text Computer Explorations in signals and systems by Buck, Daniel, Singer, 2nd Edition. I need the answers for the basic and intermediate questions.

4.6 Amplitude Modulation and the Continuous-Time Fouriei Transform This exercise will explore amplitude modulation of Morse c

Using C(ju) and the multiplication property of the CTFT, you can obtain the CTFT of r(t) (4.16) where M(ju) is the CTFT of m(

Basic Problems (a). Using the signals dot and dash, construct the signal that corresponds to the letter Z in Morse code, and

4.6 Amplitude Modulation and the Continuous-Time Fouriei Transform This exercise will explore amplitude modulation of Morse code messages. A simple ampli tude modulation system can be described by x(t) = m(t) cos(Crfot), (4.13) where m(t) is called the message waveform and fo is the modulation frequency. The continuous-time Fourier transform (CTFT) of a cosine of frequency fo is (4.14) which can confirmed by substituting C(j) into Eq. (4.1) to yield (4.15) cos(2T fot)-
Using C(ju) and the multiplication property of the CTFT, you can obtain the CTFT of r(t) (4.16) where M(ju) is the CTFT of m(t). Since the CTFT of a sinusoid can be expressed in terms of impulses in the frequency domain, multiplying the signal m(t) by a cosine places copies of M(jw) at the modulation frequency The remainder of this exercise will involve the signal, r(t)m(t) cos(2 fit) +m2(t) cos(2 f2t) ma(t) sin(2fit) and several parameters that can be loaded into MATLAB from the file ctftmod.mat. This file is in the Computer Explorations Toolbox, which can be obtained from The MathWorks at the address listed in the Preface. If the file is in one of the directories in your MATLAB PATH, type load ctftmod.mat to load the required data. The directories contained in your MATLABPATH can be listed by typing path. If the file has been successfully loaded, then typing who should produce the following result: >>who Your variables are: af dash bf dot f2 In addition to the signal r(t), you also have loaded: . a lowpass filter, whose frequency response can be plotted by freqs (bf,af), modulation frequencies f1 and f2, two prototype signals dot and dash, a sequence of time samples t To make this exercise interesting, the signal z(t) contains a simple message. When loading the file, you should have noticed that you have been transformed into Agent 008, the code-breaking sleuth. The last words of the aging Agent 007 were "The future of technology lies in" at which point Agent 007 produced a floppy disk and keeled over The floppy disk contained the MATLAB file ctftmod.mat. Your job is to decipher the message encoded in z(t) and complete Agent 007's prediction. Here is what is known. The signal z(t) is of the form of Eq. (4.17), where fi and f are given by the ariables f1 and f2, respectively. It is also known that each of the signals mi (t), m2(t) and m(t) correspond to a single letter of the alphabet which has been encoded using International Morse Code, as shown in the following table:
Basic Problems (a). Using the signals dot and dash, construct the signal that corresponds to the letter Z' in Morse code, and plot it against t. As an example, the letter C is constructed by typing c-[dash dot dash dot]. Store your signal z(t) in the vector z. (b). Plot the frequency response of the filter using freqs (bf,af) (c). The signals dot and dash are each composed of low frequency components such that their Fourier transforms lie roughly within the passband of the lowpass filter. Demon- strate this by filtering each of the two signals using >> ydash-lsim(bf,af,dash, t (1:length(dash))) > ydot-lsim(bf,af,dot,t (1:length (dot))); Plot the outputs ydash and ydot along with the original signals dash and dot (d). When the signal dash is modulated by cos(2m fit), most of the energy in the Fourier transform wil move outside the passband of the filter. Create the signal y(t) by executing y-dash*cos(2 pi fi t1length (dash)). Plot the signal gy(t) Also plot the output yo-lsim (bf,af,y,t). Do you get a result that you would have expected? Intermediate Problems (e). Determine analytically the Fourier transform of each of the signals m(t) cos(2T fit) cos(2 fit) m(t) cos(2fit) sin(2nfit) and m(t) cos(2T fit) cos(2m f2t), in terms of M(jw), the Fourier transform of m(t) (f). Using your results from Part (e) and by examining the frequency response of the filter as plotted in Part (b), devise a plan for extracting the signalrn1(t) from (t). Plot the signal mi(t) and determine which letter is represented in Morse code by the signal. (g). Repeat Part (f) for the signals m2(t) and m(t). Agent 008, where does the future of technology lie?
0 0
Add a comment Improve this question Transcribed image text
Answer #1


at node (a): 11-16 12 ^-2A apply keu at node Cb) Kcu at a 2-o Zy:-2月 fpplykeL at node. CC) . 5-t-

Add a comment
Know the answer?
Add Answer to:
This is taken from Section 4.6, "Amplitude Modulation and the Continuous-Time Fourier Transform," in the course...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • Help with writing morse code

    Screen Shot 2021-03-17 at 9.57.42 AM.pngScreen Shot 2021-03-17 at 9.57.49 AM.png3 Decoding a Morse Code messageIn this exercise you will decipher a Morse code message sent to Agent 008 by Agent \(007 .\) The last words of Agent 007 were "The future of technology lies in \(\ldots\) " at which point she produced a memory stick containing a MATLAB file ctftmod.mat. The file ctftmod \(.\) mat contains the following:af, bf the denominator and numerator coefficients of a lowpass filter, whose...

  • Q. 2 A continuous time signal x(t) has the Continuous Time Fourier Transform shown in Fig...

    Q. 2 A continuous time signal x(t) has the Continuous Time Fourier Transform shown in Fig 2. Xc() -80007 0 80001 2 (rad/s) Fig 2 According to the sampling theorem, find the maximum allowable sampling period T for this signal. Also plot the Fourier Transforms of the sampled signal X:(j) and X(elo). Label the resulting signals appropriately (both in frequency and amplitude axis). Assuming that the sampling period is increased 1.2 times, what is the new sampling frequency 2? What...

  • Use the Amplitude Modulation property of the Fourier Transform to modulate x(t) to the carrier signal...

    Use the Amplitude Modulation property of the Fourier Transform to modulate x(t) to the carrier signal m(t). x(t) = t*exp(-100t)u(t), m(t) = cos(2*π*500t). Then show demodulation of the result.

  • Hello, I'm taking signal systems course. please solve this question in matlab as soon as possbile please. Question 1 a) Write a function that calculates the Continuous Time Fourier Transform o...

    Hello, I'm taking signal systems course. please solve this question in matlab as soon as possbile please. Question 1 a) Write a function that calculates the Continuous Time Fourier Transform of a periodic signal x() Syntax: [w, X] = CTFT(t, x) The outputs to the function are: w = the frequencies in rad/s, and X = the continuous Fourier transform of the signal The inputs to the function are: x-one period of the signal x(t), andt the time vector The...

  • (a) Determine the Fourier transform of x(t) 26(t-1)-6(t-3) (b) Compute the convolution sum of the following signals, (6%) [696] (c) The Fourier transform of a continuous-time signal a(t) is given bel...

    (a) Determine the Fourier transform of x(t) 26(t-1)-6(t-3) (b) Compute the convolution sum of the following signals, (6%) [696] (c) The Fourier transform of a continuous-time signal a(t) is given below. Determine the [696] total energy of (t) 4 sin w (d) Determine the DC value and the average power of the following periodic signal. (6%) 0.5 0.5 (e) Determine the Nyquist rate for the following signal. (6%) x(t) = [1-0.78 cos(50nt + π/4)]2. (f) Sketch the frequency spectrum of...

  • 1. DSC-SC Modulation. Consider a message signal m(t) = 3 sinc(10t) this is applied to a...

    1. DSC-SC Modulation. Consider a message signal m(t) = 3 sinc(10t) this is applied to a product modulator with a carrier wave c(t) = 2 cos(100nt). (a) (5 points) Find and plot the Fourier transform S(f) of the DSB-SC modulated signal s(t). (b) (5 points) What is the bandwidth of s(t)? (c) (5 points) The signal s(t) is next applied to filter h(t), the output of the filter is named y(t). Now assume that I $2/300, If|< 30, H(f) =...

  • help with this matlab problem asap thank you.... Exercise 2: Fourier Transform properties (a) Time Scaling....

    help with this matlab problem asap thank you.... Exercise 2: Fourier Transform properties (a) Time Scaling. Create an M-file and: 1. Plot the waveform s(t)sinc(at/0.5) where a1 and t fro5 tot4.99 (seconds) in 0.01 increments. 2. Plot the amplitude spectrum of s(t). Comment the figure. 3. Repeat (a.1) and (a.2) for α-2. How do this signals compare in tune? How do their bandwidths compare? (b) Time Shifting. Create an M-file and: 1. Plot s(t)rectpuls(t) and s2(t)rectpuls(t 2.5), where t is...

  • 10. Find the Fourier transform of a continuous-time signal x(t) = 10e Su(t). Plot the magnitude...

    10. Find the Fourier transform of a continuous-time signal x(t) = 10e Su(t). Plot the magnitude spectrum and the phase spectrum. If the signal is going to be sampled, what should be the minimum sampling frequency so that the aliasing error is less than 0.1 % of the maximum original magnitude at half the sampling frequency. 11. A signal x(t) = 5cos(2nt + 1/6) is sampled at every 0.2 seconds. Find the sequence obtained over the interval 0 st 3...

  • 4. The continuous-time signal e(t) has the Fourier transform X(jw) shown below. Xe(ju) is zero ou...

    4. The continuous-time signal e(t) has the Fourier transform X(jw) shown below. Xe(ju) is zero outside the region shown in the figure X.Gj) -2T (300) -2r(100) 0 2n(100) 2T (300) We need to filter re(t) to remove all frequencies higher than 200 Hz. (a) Plot the effective continuous-time filter we need to implement. Label your plot. b) Suppose we decide to implement the filtering in discrete-time using the overall process (sample, filter, reconstruct) shown in the figure in Problem 3....

  • 1. (9 points) In this Question, we are going to perform DSBSC modulation using MAT- LAB....

    1. (9 points) In this Question, we are going to perform DSBSC modulation using MAT- LAB. The signal we want to use is a speech signal. Here is the block diagram of ths system we want to simulate: Modulation Demodulation ult gt) m(t) x Butterworth LPF mr(t) c(t) Gr(t) Figure 1: DSBSC modulation and demodulation. (a) Since we are working with speech signals, we will choose a sampling frequency that is much larger than the bandwidth of the signals. As...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT