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Top 12 Matlab projects from matlabsolutions.com

Looking for inspiring MATLAB projects to sharpen your skills or impress in your next assignment? At MATLABSolutions.com , we’ve curated the top 12 MATLAB projects that showcase the power of MATLAB in signal processing, image analysis, machine learning, and more. These hands-on examples, complete with code and explanations, are perfect for beginners and advanced users alike. Dive in and explore the best MATLAB projects to elevate your expertise! Signal Smoothing with Moving Average Filter Master signal processing by smoothing noisy data using MATLAB’s movmean function. This project cleans a synthetic sine wave, teaching you noise reduction basics. Ideal for audio or sensor data analysis. Get the code at MATLABSolutions Projects Image Edge Detection Using Canny Filter Explore image processing with MATLAB’s Canny edge detection algorithm. This project highlights edges in any photo, perfect for computer vision applications. Download the script and try it on your own images! Bitcoin Price ...

How to get mobility from velocity and force

  I have a data of velocity (get from accelerometer) and force data (get from hammer). Now, I need to get mobility from them. I already know that mobility=velocity/force. But I don't know how code it. I just begin learning about  signal processing  for a week. ANSWER Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research. I have a background in structural dynamics, not soil mechanics, but this test looks similar enough. You have measurements of acceleration (NOT velocity, unless your accelerometer is doing something it shouldn't) and force in the time domain. You want to get a mobility measurement in the frequency domain. The basic steps you have to follow are: 1) C...

Integral average of y values with respect to x values

  I have two vectors (x and y) of the same size with x having more than one value in the y direction. For example, x is [0.02 0.02 0.03 0.03 0.03 0.04 0.04 0.05 0.05 0.05] and y is [0.23 0.40 0.12 0.16 0.09 0.50 0.02 0.33 0.10 0.08]. I want to convert the attached scattered plot of the two vectors to a simple continuous curve, by evaluating the integral average of y values with respect to x values. Take into account that the x vector is already ordered from small to large values. How could I do this? ANSWER Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research. I’m not exactly certain what you want, but one approach would be to use the   cumtrapz  function:   ...

how to identify the sampling rate of signal with unknown sampling rate

  If i have a   signal  but i do not know the sampling rate , i need to find the power spectrum of the signal , then plot against the frequency ANSWER Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research. Do you know the range of the values in the signal? e.g. minimum and maximum time. If not then you simply don't have enough information to work it out. If you do then it is just a trivial calculation from the min, max and number of samples, assuming it has a constant sample rate.     sampleRate = ( maximumVal - minimumVal ) / numVals - 1;

The fastest way to find local minimum

  What is the most efficient/fastest way to find the circled local minimum below, the lowest minima between two highest peaks? The graph was created by plot(x,y). ANSWER Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research. Invert your signal     invertedSignal = max(signal(:)) - signal; Now valleys will be peaks. Then call find peaks.

buttLoop error message code lifted from Matlab example 60 Hz hum

  Using code from Remove the 60 Hz Hum from a Signal.   srate = input ('Enter SAMPLE RATE for this subject(check log book!): '); ChannelFirst = data.ECG; Fs=srate; t =( 0:length(data.ECG)-1)/fs; plot(t,data.ECG); ylabel 'Voltage (V)', xlabel 'Time (s)' title 'Open-Loop Voltage with 60 Hz Noise' d = designfilt('bandstopiir','FilterOrder',2, ... 'HalfPowerFrequency1',59,'HalfPowerFrequency2',61, ... 'DesignMethod','butter','SampleRate',Fs); fvtool(d,'Fs',Fs) ; buttLoop = filtfilt(d,openLoop); ERROR THIS LINE <?=========================== figure (2); plot(t,data.ECG,t,buttLoop); ylabel 'Voltage (V)', xlabel 'Time (s)'; title 'Open-Loop Voltage', legend('Unfiltered','Filtered'); [popen,fopen] = periodogram(data.ECG,[],[],Fs); [pbutt,fbutt] = periodogram(buttLoop,[],[],Fs); plot(fope...

Can anyone help me with fourier series of a signal?

  My doubt is can I break the signal in a triangle and a straight line, then calculating fourier series for each. Will this break may affect my answer (magnitude * frequency) ANSWER Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research. If you’re doing a numeric   fft , do the Fourier Transform of the entire  signal .   To do it symbolically, separate it into two segments for each part of the triangle, and add: syms w t f1(t) f2(t) f1(t) = 40*t; f2(t) = 40-40*t; F(w) = int(f1(t)*exp(1i*w*t), t, 0, 0.5) + int(f2(t)*exp(1i*w*t), t, 0.5, 1); F(w) = simplify(F(w), 'steps',20) F(w) = SEE COMPLETE ANSWER CLICK THE LINK https://www.matlabsolutions.com/resources/can-...

How to calculate the correlation coefficient between an array and a matrix?

  I have a   matrix  A and a matrix B, with the same number of rows and a different number of columns. I need to calculate the correlation coefficient between each single columns of the matrix A and all the columns of the matrix B. For each column of A, the partial result will be an array, so I'm thinking to a matrix as final result.   Is there a way to do this avoiding the "for" cycle? Which is the most efficient way to do this? Could you suggest me the best syntax?   Finally, I have also to do the same with the mean squared error: again, in this second case, is it possible to avoid the "for" cycle? Thanks for your answers. ANSWER Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source ...