





3) Given three sinusoids with the following amplitude and phases (t)-Scos(2x (1200+0.25x) a. Create a MATLAB...
3) Given three sinusoids with the following amplitude and phases (t)-Scos(2x (1200+0.25x) a. Create a MATLAB program to sample each sinusoid and generate a sum of three sinusoids, that is, х(n)=x1(nHx:(n)+xy(n), using a sampling rate of 8000 Hz, and plot the sum x(n) over a range of time that will exhibit approximately 0.1 second. (10 pts) b. Use the MATLAB function fO to compute DFT coefficients, and plot and examine the spectrum of the signal x(n).(10 pts Write a MATLAB...
MATLAB Code Question
alpha = 2.3
beta = 4.3
zeta = 9.1
PROBLEM 4 (20 points). Consider three sinusoids with the following amplitudes and phases a.cs(2n(500t)) β.cos(2n(500t) +0.5r) x1n] x2[n] rn = cos(2(500t)0.75) Create a MATLAB program to sample each sinusoid and generate a sum of three sinusoids, that is using a sampling rate of 8,000 Hz over a range of 0.1 seconds Use the MATLAB function stem) to plot r[n] for the first 20 samples Use the MATLAB function...
Need MatLab code
Exercise: Use MATLAB to generate the sinusoidal waveform: x(t) = 3 cos(1200) Consider the frequency of this sinusoid and use this information to select an appropriate time-step and time array that will allow this signal to be correctly represented and displayed on a new MATLAB figure window (display 4 periods of this wave only). Now set up an appropriate frequency array and use the fft() and fftshift() functions to generate and plot the Fourier Transform (magnitude spectra)...
Using MATLAB, Please read carefully, EXPLAIN CODE AND ANSWERS,
DISCUSS RESULTS, I NEED EVERY PART
(B) Implement Matlab code for each part as described below: i) Define the following signal in time and plot it where Ai 10, A2-3, fi-10 Hz, f2-40 Hz. part of the DFT, and discuss the results. zero. Do this carefully for both positive and negative frequencies. Call this signal G (f). ii) Compute the DFT S(f) of s (t) using the fft() function. Plot the...
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...
Study the provided MATLAB programs entitled fft_spectrum, plot_fft_spectrum, and test_fft_spectrum. Using the program test_fft_spectrum, plot the approximate magnitude and phase spectra of the functions given in problem 3.2-1. Adjust your time axis so that the frequency plots are scaled conveniently, and important features of the time and frequency plots are clearly visible. This can be done by experimenting with the values of N, tmin, and tmax. And the 3.2-1 problems are: (a) pi(t/3) (b) Delta (3x/100) (c) pi (t-5/4) (d)...
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...
Use MATLAB to :
("j" is the imaginary number.) The term lo is the fundamental frequency of the periodic signal, 2/T, where T is the period. Frequencies nlo, where n is an integer, are the harmonics. This infinite sum is an exact representation of the original function. If we use a finite sum, where n goes from -N to N, we will get an approximation "X-(t)". In this problem we will calculate and plot the Fourier series representation of a...
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)');
Matlab:
PART 3 - Applications Create a script for each of the following four application problems (A7P3Alastname.m, A7P3Blastname.m, A7P3Clastname.m and A7P3Dlastname.m). Each program will call your function A7GAUSSlastname.m to solve the linear algebra problem. Use the following output statements to display formatted output in the command window: fprintf('In Assignment 7, Part 3a - Materials/Mixtures In(Note: Edit this line for each problem) fprintf ('\n Coefficient Matrix A : \n\n'); for i-1:size(A, 1) fprintf("%10.2f',A(i, :)); fprint'In') end fprintf'In Vector b: Inln') fprintf...