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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 , weā€™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 MATLABā€™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 MATLABā€™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 ...
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Matlab Top 20 Project Ideas 2025

  List of some Matlab Projects Ideas you can choose for your acdemics. You can also ask for guidance in your Matlab Project from MatlabSolutions . 1. Social media filters  2. Drowsy driver detection  3. Number plate recognition  4. Fake currency detection  5. Sign language recognition  6. Breast cancer detection  7. Emotion and gesture recognition  8. Secret communication  9. Colour image compression  10. Basic Image Filters (Blur, Sharpen)  11. Barcode Detection System Using OpenCV and Zbar  12. Edge Detection for Fast Image Segmentation  13. The Image Processing and Analysis System  14. Simulation of Digital Communication Systems  15. Control System Design and Simulation  16. Data Analysis and Visualization Tool  17. Machine Learning Model Development  18. Optimization Problem Solver  19. Power System Simulation  20. Real-time Signal Processing System You may have heard about MATLAB thr...

How to run .m file in python?

  I have a .m code what I want to run in python. Is it any easy way? 1. this code is not a function. 2. don't want to show the matlab window. NOTE:- Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  ,  Finance 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. T his is not a big deal. The python code looks like: import matlab.engine eng = matlab.engine.start_matlab() eng.simple_script(nargout=0) eng.quit() The Matlab script would be perhaps this one line saved as simple_script.m: a = 'it works easily...' Make sure that the script is saved in a folder matlab knows as a search folder. Then run your python script and get the answer:   SEE COMPLETE ANSWER CLICK THE LINK https://www.matlabsolu...

How to PID tuning to meet conditions for settling time and overshoot

  PID tuning to meet conditions for settling time and overshoot while a stable system with minimum peak time and zero velocity error. So I am trying to find the gain values for a PI control system that would give me a settling time not exceeding 6 seconds, and an maximum overshoot not going over 5% while ensuring that the peaktime is the lowest it can be, and that the system is stable, and also has zero velocity error. I have written the following code. Starting with a kp and ki value of 1 each, I get a system that gives desirable overshoot and settling time, but I am wondering if the peaktime can be even lower while still having settling time <= 6 and overshoot <= 5. I am using the following toolboxes: Control System Toolbox Questions Using the rlocus function, I have also shown that the real parts of the poles are negative, so this demonstrates that my system is stable right? Also am I using Lsim correctly to determine if velocity error is zero? The resultant graph has a gr...

how find ramp response

  what is method to find out ramp response of a transfer system.......... there is any command like step or impulse? NOTE:- Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  ,  Finance 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. You could get the ramp response by dividing your transfer function by s, and then taking the step response.   For example:   s = tf('s'); G = 1/(s+1); figure subplot(311), impulse(G);   SEE COMPLETE ANSWER CLICK THE LINK https://www.matlabsolutions.com/resources/how-find-ramp-response.php

what is the difference between simulink control design and control system toolbox?

  Hi, while going through simulink control design i came across a thing that we can linearize non linear models , Is that the only different feature we can do in simulink control design than control system toolbox? Please explain what is "linearizing a non linear model" with simple example?   NOTE:- Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  ,  Finance 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. 1. Two different products.  Control System Toolbox  lets you analyze and design control systems in MATLAB. You can do that from the command line or using interactive tools like Control System Tuning app (SISO Tool). Simulink Control Design requires Control System Toolbox an...

How to compute control system's performance parameters?

J = 0.2; b = 0.1; K = 0.2; R = 10; L = 5; s = tf('s'); p = K/((J*s+b)*(L*s+R)+K^2); step(p,200) [y,t]=step(p,200); stepinfo(y) With the following code, I want to measure the rise time. Using the stepinfo command, this is what pops in my command window : ans = struct with fields: RiseTime: 94.5571 %%Rise time SettlingTime: 172.5924 SettlingMin: 0.1735 SettlingMax: 0.1923 Overshoot: 0 Undershoot: 0 Peak: 0.1923 PeakTime: 1378 But when I check the parameters using the step response graph, the answer is different. So, why am I getting two different rise times? Any solution? NOTE:- Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  ,  Finance 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 ...