1953 Order Completed
99 % Response Time
63 Reviews
Since 2015
Related Topics
Related Blogs

What makes Matlab and Octave different?Matlab and Octave are the two most popular statistical programming languages today. They offer researchers and data scientists a host of tools for statistical analysis to help them produce the most desirable results from their data. But it can be quite overwhel...

2020-07-15

The Australian MATLAB Homework Help Service You Can Depend OnGet top-quality Matlab assignment help in Australia from our experts in Perth, Brisbane, Adelaide, and Sydney. Quality assistance for students looking for Matlab assignment help in AustraliaFor years, students in Australia have strug...

2020-07-15

The most trusted Matlab assignment writing service in Canada Get academic support from the finest Matlab homework writing service in Canada and secure the best grades. Avail of our Matlab assignment writing service in Canada for quality solutions The Matlab computing environment is a major part...

2020-07-15

# Applied Physics Expert

Malacca, Malaysia

## Frank P

Bachelor’s Degree, Applied Physics, Sunway University, Malaysia

Profession

I am an expert signal processing assignment helper with deep knowledge of Matlab and several other digital processing programs.

Skills

After obtaining my bachelor’s degree in applied physics, I was looking for an opportunity to utilize the skills I had acquired in college. I, therefore, decided to venture into academic writing because, with this career path, I knew I would be subjected to challenges that would help me cement my skills. Luckily, Matlab Assignment Experts was looking for signal processing experts and that’s how I landed a job as a signal processing assignment help expert. It’s almost six years since I started working with this company and so far, I have delivered over 1950 successful orders. My area of expertise is speech signal processing, music signal processing, compressed sensing, and cognitive radio, though I can handle any topic related to signal processing.

Get Free Quote
0 Files Selected
Curve Plotting
clc, clear all, close all % Load dat file load crazy_func % Plot the curve figure subplot(1,2,1); plot(eks, why), grid on xlabel('eks'); ylabel('why'); title('why vs. eks'); % Determine d(why)/d(eks) N = length(why); % length of data % The length of d(why)/d(eks) will be N - 1 for i = 1:N-1 dwhy(i) = why(i+1)-why(i); deks(i) = eks(i+1) - eks(i); end % Now, compute d(why)/d(eks) dwhydeks = dwhy./deks; % Plot the resulting curve subplot(1,2,2) plot(eks(1:N-1), dwhydeks), grid on xlabel('deks'); ylabel('dwhy'); title('dwhy vs. deks'); %% NOTE FOR THE REPORT: % eks < 20 -> why is a sine function, so its derivative must be a cosine % function % eks >=20 and eks < 40 -> why is an exponential function so its % derivative must be also an exponential functionç % eks >=40 and eks < 60 -> why is a collection of random points so its % derivative must be also a collection of random points % eks >= 60 and eks < 80 -> why is a parabola, so its derivative must be % a straight line with positive slope % eks >= 80 and eks < 100 -> why is a line, so its derivative must be a % constant value 
Vector Operations Using Matlab
clc, clear all, close all %% Question 2 % Input values vxi = [0 -0.2478 -0.4943 -0.7384 -0.9786]; vyi = [4 3.9915 3.9659 3.9234 3.8644]; ti = [0 0.04 0.08 0.12 0.17]; % Initial values x1 = 4; y1 = 0; % Calculate x2, x3, x4, y2, y3, y4 x2 = x1 + vxi(1)*(ti(2)-ti(1)); x3 = x1 + vxi(2)*(ti(3)-ti(2)); x4 = x1 + vxi(3)*(ti(4)-ti(3)); y2 = y1 + vyi(1)*(ti(2)-ti(1)); y3 = y1 + vyi(2)*(ti(3)-ti(2)); y4 = y1 + vyi(3)*(ti(4)-ti(3)); %% Question 3 % Read file into a table data = readtable('A1_input.txt'); % Do not take into account the first element of the data because that one % contains the units for k = 2:size(data,1) t(k-1) = str2double(data.time{k}); vx(k-1) = str2double(data.vx{k}); vy(k-1) = str2double(data.vy{k}); end % Display the first four values [t(1:4)', vx(1:4)', vy(1:4)'] %% Question 4 % Plot vx and vy in the same graph figure plot(t, vx, t, vy); grid on legend('vx', 'vy'); xlabel('Time (s)'); ylabel('Velocity (m/s)'); grid on x(1) = x1; y(1) = y1; for k = 2:length(t) x(k) = x1; y(k) = y1; for j = 1:k-1 x(k) = x(k) + vx(j)*(t(j+1)-t(j)); y(k) = y(k) + vy(j)*(t(j+1)-t(j)); end end % x and y using vectors % vectors of tj+1 tj tvec = t(2:end) - t(1:end-1); xv = cumsum(vx(1:end-1).*tvec); xv = xv + x1; xv = [x1, xv]; yv = cumsum(vy(1:end-1).*tvec); yv = yv + y1; yv = [y1, yv]; figure hold on plot(t, x); plot(t, y); plot(t, xv, 'k--', 'linewidth', 3); plot(t, yv, 'g--', 'linewidth', 3); grid on xlabel('Time (s)'); ylabel('Position'); legend('X-position from Q5', 'Y-position from Q5', 'X-position from Q6', 'Y-position from Q6'); figure plot(xv, yv), grid on xlabel('X-Position (m)'); ylabel('Y-Position (m)'); file = fopen('output.txt', 'wt'); fprintf(file, 'Time\tx\ty\n'); fprintf(file, '(s)\t(m)\t(m)\n'); for k = 1:length(t) fprintf(file, '%.3f\t%.3f\t%.3f\n', t(k),xv(k), yv(k)); end fclose(file); file = fopen('output2.txt', 'wt'); fprintf(file, 'Time\tx\ty\n'); fprintf(file, '(s)\t(m)\t(m)\n'); fprintf(file, '%.3f\t%.3f\t%.3f\n', t',xv', yv'); fclose(file);