You will get MATLAB Signal Processing Pipeline for Subsurface Sensor Data (FFT, Anomaly)
Project details
This project is developed by an Electrical and Computer Engineering graduate, specialized in power and control systems, with hands-on experience in MATLAB, signal analysis, and engineering simulation environments.
My background includes practical work with:
MATLAB for signal processing, FFT analysis, and data visualization
LabVIEW for measurement, data acquisition, and report generation using DOM-based workflows
Power system and fault analysis, including short-circuit and dynamic behavior studies
Structured engineering workflows focused on clarity, validation, and reproducibility
This combination of theoretical engineering knowledge and applied simulation experience ensures that the analysis is not only technically correct but also aligned with real engineering and research use cases.
This project demonstrates a complete signal processing and anomaly detection workflow implemented in MATLAB, designed as a practical sample for sensor-based analysis applications such as subsurface resource detection, vibration monitoring or experimental research.
The workflow starts from raw time-series sensor data and progresses through structured preprocessing, frequency-domain analysis using FFT,
My background includes practical work with:
MATLAB for signal processing, FFT analysis, and data visualization
LabVIEW for measurement, data acquisition, and report generation using DOM-based workflows
Power system and fault analysis, including short-circuit and dynamic behavior studies
Structured engineering workflows focused on clarity, validation, and reproducibility
This combination of theoretical engineering knowledge and applied simulation experience ensures that the analysis is not only technically correct but also aligned with real engineering and research use cases.
This project demonstrates a complete signal processing and anomaly detection workflow implemented in MATLAB, designed as a practical sample for sensor-based analysis applications such as subsurface resource detection, vibration monitoring or experimental research.
The workflow starts from raw time-series sensor data and progresses through structured preprocessing, frequency-domain analysis using FFT,
AI Development Type
Deep Learning, Knowledge Representation, Recommendation SystemAI Development Language
JavaWhat's included
| Service Tiers |
Starter
$25
|
Standard
$80
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | 99 | 99 | 97 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | |||
Model Documentation | - | ||
Ontology | - | ||
Source Code | - | ||
Taxonomy | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$15 - $150
Additional Revision
+$250
2 reviews
(1)
(1)
(0)
(0)
(0)
This project doesn't have any reviews.
AA
Arvind A.
Dec 15, 2025
MATLAB Report Generator Help
Umer was quite diligent in trying to solve my problem. He took a bit extra time as he felt he could do a better job. He's definitely committed to producing quality output. His communication could be improved but I'd hire him again if there's a need.
MB
Marc B.
Oct 30, 2025
Micro micro hydro engineering
Umer has a very high quality thought process
About Umer
Power Systems & MATLAB Expert | AI/ML Enginee | Data Science | Pytho
100%
Job Success
Addis Ababa, Ethiopia - 4:31 pm local time
My experience includes:
* Power systems: power flow, transient stability, protection, and electrical system analysis
* Solar PV: PV system sizing, performance analysis, PVsyst, MPPT, and MATLAB/Simulink modeling
* Power electronics & control: converters, DC/DC systems, inverter modeling, and control simulations
* Python & Data Science: data cleaning, statistical analysis, anomaly detection, visualization, and machine learning
* AI & Automation: AI agents, prompt engineering, API integration, model fallback strategies, and persistent agent memory
* Data applications: automated CSV/Excel/JSON data processing, interactive Streamlit dashboards, and reporting
* Electronics & PCB: KiCad PCB design, circuit simulation, Arduino/ESP32-based projects, and LTspice/Proteus
* Deployment: Streamlit Cloud, Railway, GitHub, APIs, Telegram bots, and production-oriented Python applications
I focus on accuracy, clear documentation, and building solutions that are practical and easy for clients to use and maintain.
Whether you need an engineering simulation, technical analysis, data-processing workflow, AI-powered application, or automation solution, I can help take the project from concept to a working result.
Steps for completing your project
After purchasing the project, send requirements so Umer can start the project.
Delivery time starts when Umer receives requirements from you.
Umer works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Review
Understand the client’s objectives, data format, and expected outputs. Confirm signal type, sampling rate, and known events.
Data Preparation
import and validate time-series sensor data in MATLAB. Clean missing values and align signals for accurate analysis.