I will develop kalman filter, state estimation, and data filtering in python

A
anghel_gheorghe
A
anghel_gheorghe
A. Gheorghe

About this gig

I develop professional, mathematically rigorous state estimation scripts in Python designed for robotics, signal processing, and navigation simulations.

What I Offer:

  • Linear Filtering: Standard Kalman Filters (KF) optimized for linear system dynamics and basic sensor denoising.
  • Nonlinear Estimation: Extended Kalman Filters (EKF) and Unscented Kalman Filters (UKF) to track highly nonlinear states without divergence.
  • Advanced Particle Filters: Sequential Monte Carlo methods for non-Gaussian noise distributions and tracking complex environments.
  • Sensor Fusion: Combining conflicting data arrays (e.g., IMU, GPS, encoders) into a single, highly accurate state vector.
  • Telemetry Plots: Beautiful Matplotlib curves comparing noisy measurements vs. ground truth vs. filtered estimations.

Why This Gig?

  • Explicit Math: Every script features clearly defined covariance matrices ($Q, R, P$) with thorough comments.
  • Zero Black Boxes: 100% open, readable, PEP-8 compliant Python source code.

Message me before ordering with your system state equations and noise profiles!

Get to know A. Gheorghe

A. Gheorghe
5.0(1)
  • FromMoldova
  • Member sinceAug 2025
  • Last delivery9 months
  • Languages

    English, Romanian
I develop Python tools for engineering simulation, scientific computing, and control systems. My work focuses on turning mathematical and engineering models into clean, tested code using NumPy, SciPy, Matplotlib, Streamlit, and pytest. I can help with dynamic systems, PID/LQR/MPC control, state estimation, finite-difference PDE solvers, FEM basics, UAV simulations, scientific visualization, and interactive dashboards. I deliver reliable, well-documented solutions tailored to your project.