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salam, i am an electrical engineer with extensive experience of MATLAB and Simulink. i have done many signal processing, image processing and machine learning projects in matlab. i have excellent experience of power systems and mechanical system simulations in simulink. some of my projects are, 1. epileptic seizure detection from eeg signal 2. heart rate calculator through camera 3. emotion detection using eeg signal 4. inverter design and simulation in simulink 5. k means clustering for genes data and many many more. i also have codes for these projects if you want to have already built project. Please share more details of your project.

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Hi! My name is Fernando Téllez. I am a senior year student of electrical engineering at Universidad Simón Bolívar (USB), one of the most prestigious universities in my country (Ranked 34° at the QS University Rankings: Latin America 2015). I code using matlab ON A DAILY BASIS to solve any kind of engineering, logical, statistical and mathematical problem.

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I am PhD student and quite familiar with matlab programming. You can send me the related file of the your Graduation Projects.

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I am Telecom Engineer and studied Comm. Systems, Digital Systems and Wireless Comm. Matlab working experience for more than 2 years. I have done a lot of lab projects on MATLAB from mathematics, equations, communications to image processing. Recently In, freelancer, I have completed fire extenguisher using MATLAB and complete communication systems in MATLAB. I would like to work for you with pleasure. Further, please see my profile. Thanks

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Hi there! I'm interested in your matlab project but I need more details about your requirements. I understand that this is an important script for your studies and graduation, so please send me a message to initiate our conversation. Let's get to work!

Human brain is made-up of millions of neurons which fires continuously. The neurofiring occurring in the brain generates electrical signals of different frequency. As human thinks, some distorted pattern is formed in the brain signals, but it is very much difficult to identify them. Sixty thousands thoughts come in human brain in a day. The aim of this project is to classify the 2 different tasks/thoughts efficiently. The thoughts are motor imaginary of left fist or right fist movement and motor imaginary of both fist and both feet movement with eye open and eye close event class. While doing this, the external noise of same bandwidth was removed that may affect the accuracy of the system. Dataset will be taken from Physionet. I will classify the two EEG signal using 2 different machine learning algorithms which is never applied in this field ever.