![A. Discrete Fourier Transform and zero padding For the signals x1[n] and x2[n] answer the following questions: x2 [n] = cos(2](http://img.homeworklib.com/images/d377994d-1525-459c-8b72-58943308198b.png?x-oss-process=image/resize,w_560)
Can someone please help me with all these questions please? I desperately need it asap! Must be done with MATLAB. Thumbs up will be guaranteed! Thank you so much!!
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Can someone please help me with all these questions please? I desperately need it asap! Must be d...
PLEASE HELP ME ANSWER THE QUESTIONS TO THIS EXPERIMENT!! It's very important to answer and EXPLAIN...
PLEASE HELP ME ANSWER THE QUESTIONS TO THIS EXPERIMENT!! It's very important to answer and EXPLAIN the question to part b) !!! The DFT of a Rectangular Window & The Effects of Zero Padding a Signal a) Plot the 4-point magnitude DFT of the following pulse w[n] = [1 1 1 1]= [w[0] w[1] w[2] w[3]] (Use the FFT command in MATLAB.) b) Conveniently zero pad the signal in order to plot the 8-point DFT, the 16-point DFT and the...
[20 total pts) Consider the sequences x1n] = { 1, 2,-2, 1}, and x2 [n] =...
[20 total pts) Consider the sequences x1n] = { 1, 2,-2, 1}, and x2 [n] = { 1, 2,-2, 1, 0, 0, 0, 0). The sequence x2In] is known as a zero-padded version of x,[n]. When answering the questions below, please use Table 1, provided on Page 3. a. [3 pts] Compute X1(eo), the Discrete-Time Fourier Transform (DTFT) of x1 [n], and evaluate it for the following values of normalized frequency: a-63 笎哮,쯤뀨 write the values in the table b....
Q1 Given two vectors Aln 1355715 n 122875 Arrows show the zero point. For A[n, the...
Q1 Given two vectors Aln 1355715 n 122875 Arrows show the zero point. For A[n, the index n-[-2,-1, o, 1, 2, 3, 4) and for Bin), the index n-1,0, 1, 2,31. Calculate the Cin-An] sony B [n). Using either the numerical method or the table method. Detailed steps must be provided for full credit. Draw or plot A B, and C. Q2 For the Aln] and Binl, calculate their cross-correlation DIn). Plot Din] below Calculate the autocorrelation of Aln) and...
Exercise 4. Computing and displaying the Fourier Transform of a signal Later in the semester it will become useful to d...
Exercise 4. Computing and displaying the Fourier Transform of a signal Later in the semester it will become useful to determine the frequency response of a signal or system by taking the Fourier Transform empirically (rather than computing it analytically). To do so we make use of the fft and fftshift commands. The fft command is an efficient implementation of the Discrete Fourier Transform (DFT) known as the Fast Fourier Transform (FFT). When the FFT is computed the samples are...
Please can you solve it using MATLAB. (1) Generate random signals [n] and hn, each of...
Please can you solve it using MATLAB.
(1) Generate random signals [n] and hn, each of length N, and measure the time it takes to compute the linear convolution of r[n using the linear convolution definition and using the FFT method . Plot a graph of the results for N 104 to 10 in steps of 10. (2) Consider the signal x[n]-cos(0.3n),。£11S 100. Generate a plot of: ·The magnitude and phase of the DTFT of x[n] for 0 2π The...
can someone help me do this and maybe also the picture of the scope explain how you get it. thankyou! Frequency-sh...
can someone help me do this and maybe also the picture of the
scope explain how you get it. thankyou!
Frequency-shift keying (FSK) and Phase-shift keying (PSK) Two other modulation schemes are the phase-shift keying (PSK) and the frequency-shift keying (FSK). These are illustrated in Figure 8 b and c respectively. In phase-shift keying the carrier signal changes phase by a radians when the digital signal changes values. In frequency-shift keying a 0 is transmitted at a different carrier frequency...
Exercises: u used to the instructor b the end of next lab. 20 102 Plot the f(t)-sinc(20r) cos(300...
Exercises: u used to the instructor b the end of next lab. 20 102 Plot the f(t)-sinc(20r) cos(300t)sinc (10t) cos(100t) Use the fast Fourier transform to find the magnitude and phase spectrum of the signal and plot over an appropriate range. Use appropriate values for the time interval and the sampling interval. Note that in Matlab sinc(x)-, so we need to divide the argument by n to make it match the given function. Le, sinc(20t/pi) Hint: Use the parameters from...
Need help converting the following code from Matlab into Python: N=2048; fs=4.9; t=0:1/fs:(N-1)/fs; fs1=200; t1=0:1/fs1:(N-1)/fs1; x2=0.5+0.6366.*cos(2.*pi.*t1)+0.1273.*cos(10.*pi.*t1)-0.0909.*cos(14.*pi.*t1);...
Need help converting the following code from Matlab into Python: N=2048; fs=4.9; t=0:1/fs:(N-1)/fs; fs1=200; t1=0:1/fs1:(N-1)/fs1; x2=0.5+0.6366.*cos(2.*pi.*t1)+0.1273.*cos(10.*pi.*t1)-0.0909.*cos(14.*pi.*t1); x=0.5+0.6366.*cos(2.*pi.*t)+0.1273.*cos(10.*pi.*t)-0.0909.*cos(14.*pi.*t); X=fftshift(fft(x)); f=linspace(-fs/2,fs/2,N); plot(f,abs(X)./N); xlabel('f'); ylabel('|F(f)|'); title('magnitude spectrum of sampled signal'); x1=ifft(fftshift(X)); figure plot(t(1:100),x1(1:100)); xlabel('t'); ylabel('f(t)'); title('f(t) obtained by inverse transform'); figure plot(t1(1:1000),x2(1:1000)); xlabel('t'); ylabel('f(t)'); title('original f(t)');
I Need Help with 4,6,8,10,15,18 Problems 123 If f(n) is a periodic sequence with period N,...
I
Need Help with 4,6,8,10,15,18
Problems 123 If f(n) is a periodic sequence with period N, it is also periodic with period 2N. Tet 8(k) denote the DFS coefficients of X(n) considered as a periodic sequence with period N and X,(k) denote the DFS coefficients of x(n) considered as a periodic sequence with period 2N. X,(k) is, of course, periodic with period N and X2(k) is periodic with period 2N. Determine 8(k) in terms of X (k). 5. Consider two...
Can you please help me answer Task 2.b? Please show all work. fs=44100; no_pts=8192; t=([0:no_pts-1]')/fs; y1=sin(2...
Can you please help me answer Task 2.b?
Please show all work.
fs=44100; no_pts=8192;
t=([0:no_pts-1]')/fs;
y1=sin(2*pi*1000*t);
figure;
plot(t,y1);
xlabel('t (second)')
ylabel('y(t)')
axis([0,.004,-1.2,1.2]) % constrain axis so you can actually see
the wave
sound(y1,fs); % play sound using windows driver.
%%
% Check the frequency domain signal. fr is the frequency vector and
f1 is the magnitude of F{y1}.
fr=([0:no_pts-1]')/no_pts*fs; %in Hz
fr=fr(1:no_pts/2); % single-sided spectrum
f1=abs(fft(y1)); % compute fft
f1=f1(1:no_pts/2)/fs;
%%
% F is the continuous time Fourier. (See derivation...
[20 total pts) Consider the sequences x1n] = { 1, 2,-2, 1}, and x2 [n] = { 1, 2,-2, 1, 0, 0, 0, 0). The sequence x2In] is known as a zero-padded version of x,[n]. When answering the questions below, please use Table 1, provided on Page 3. a. [3 pts] Compute X1(eo), the Discrete-Time Fourier Transform (DTFT) of x1 [n], and evaluate it for the following values of normalized frequency: a-63 笎哮,쯤뀨 write the values in the table b....
Q1 Given two vectors Aln 1355715 n 122875 Arrows show the zero point. For A[n, the index n-[-2,-1, o, 1, 2, 3, 4) and for Bin), the index n-1,0, 1, 2,31. Calculate the Cin-An] sony B [n). Using either the numerical method or the table method. Detailed steps must be provided for full credit. Draw or plot A B, and C. Q2 For the Aln] and Binl, calculate their cross-correlation DIn). Plot Din] below Calculate the autocorrelation of Aln) and...
Exercise 4. Computing and displaying the Fourier Transform of a signal Later in the semester it will become useful to determine the frequency response of a signal or system by taking the Fourier Transform empirically (rather than computing it analytically). To do so we make use of the fft and fftshift commands. The fft command is an efficient implementation of the Discrete Fourier Transform (DFT) known as the Fast Fourier Transform (FFT). When the FFT is computed the samples are...
Please can you solve it using MATLAB.
(1) Generate random signals [n] and hn, each of length N, and measure the time it takes to compute the linear convolution of r[n using the linear convolution definition and using the FFT method . Plot a graph of the results for N 104 to 10 in steps of 10. (2) Consider the signal x[n]-cos(0.3n),。£11S 100. Generate a plot of: ·The magnitude and phase of the DTFT of x[n] for 0 2π The...
can someone help me do this and maybe also the picture of the
scope explain how you get it. thankyou!
Frequency-shift keying (FSK) and Phase-shift keying (PSK) Two other modulation schemes are the phase-shift keying (PSK) and the frequency-shift keying (FSK). These are illustrated in Figure 8 b and c respectively. In phase-shift keying the carrier signal changes phase by a radians when the digital signal changes values. In frequency-shift keying a 0 is transmitted at a different carrier frequency...
Exercises: u used to the instructor b the end of next lab. 20 102 Plot the f(t)-sinc(20r) cos(300t)sinc (10t) cos(100t) Use the fast Fourier transform to find the magnitude and phase spectrum of the signal and plot over an appropriate range. Use appropriate values for the time interval and the sampling interval. Note that in Matlab sinc(x)-, so we need to divide the argument by n to make it match the given function. Le, sinc(20t/pi) Hint: Use the parameters from...
I
Need Help with 4,6,8,10,15,18
Problems 123 If f(n) is a periodic sequence with period N, it is also periodic with period 2N. Tet 8(k) denote the DFS coefficients of X(n) considered as a periodic sequence with period N and X,(k) denote the DFS coefficients of x(n) considered as a periodic sequence with period 2N. X,(k) is, of course, periodic with period N and X2(k) is periodic with period 2N. Determine 8(k) in terms of X (k). 5. Consider two...
Can you please help me answer Task 2.b?
Please show all work.
fs=44100; no_pts=8192;
t=([0:no_pts-1]')/fs;
y1=sin(2*pi*1000*t);
figure;
plot(t,y1);
xlabel('t (second)')
ylabel('y(t)')
axis([0,.004,-1.2,1.2]) % constrain axis so you can actually see
the wave
sound(y1,fs); % play sound using windows driver.
%%
% Check the frequency domain signal. fr is the frequency vector and
f1 is the magnitude of F{y1}.
fr=([0:no_pts-1]')/no_pts*fs; %in Hz
fr=fr(1:no_pts/2); % single-sided spectrum
f1=abs(fft(y1)); % compute fft
f1=f1(1:no_pts/2)/fs;
%%
% F is the continuous time Fourier. (See derivation...
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