Search Results for "kalman"
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Showing 35 open source projects for "kalman"
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Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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Our computer monitoring software allows employees, field contractors, and freelancers to manually clock in when they begin working on an assignment. The application will take screenshots randomly or at set intervals, which allows employers to observe the work process. The application only tracks activity when the employee is clocked in. No spying, only transparency.
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Iperf 2
A means to measure network responsiveness and throughput
Iperf here is a means of measuring networks - capacity & latency (including ECN) over sockets both TCP and UDP. The goals include maintaining an active iperf code base across a broad set of platforms and operating systems. This is a multi-threaded design that scales with the number of CPUs or cores within a system. It supports both high impact and low impact techniques to obtain and report network performance. Current release: 2.2.0, April 10, 2024 (2.2.1 per coming soon) About... -
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Generic data-assimilation toolbox written in java, with native (c and fortran) libraries for high performance computing. Provides tools to couple to your own model and a wide range of algorithms, ranging from parameter calibration to Kalman filters.
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sequoia-dap
SEQUOIA ocean data assimilation platform (a SIROCCO suite tool)
Within the SIROCCO suite of numerical tools, the purpose of SDAP is to provide a flexible platform to carry out multivariate assimilation of geophysical data in a numerical model. The program is multi-grid (finite differences or finite elements), multi-algebra (plug-in analysis kernels), multi-model (simple standardized interface). The program supports reduced-order data assimilation methods, as well as Ensemble assimilation approaches such as the Ensemble Kalman Filter. Recent additions... -
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Kalman and Bayesian Filters in Python
Kalman Filter book using Jupyter Notebook
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions. Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Juptyer Notebook so that you can run and modify the code in your browser. What better way to learn? This book teaches you how to solve... -
Track all your service data in one easy-to-use system, enabling your team to move faster and generate more revenue for your bottom line.
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PCRaster
PCRaster environmental modeling software
...) include a rich set of spatial operations for manipulating and analysing raster maps. A Python framework supports Monte Carlo simulations and data assimilation (Ensemble Kalman Filter and Particle Filter). The Aguila tool allows for the interactive visualisation of stochastic spatio-temporal data. -
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SigPack
SigPack - A signal processing library using Armadillo
SigPack is a C++ signal processing library using the Armadillo library as a base. The API will be familiar for those who has used IT++ and Octave/Matlab. -
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RTC-simulator
Simulation and Control of Processing Plants
RTC (Real Time Control) is a program of M. Mulholland (2015). This is a simple interactive simulator including 20 different applications for such aspects as PID and DMC controller tuning, advanced level control, Smith prediction, Kalman filtering, and control strategies for a furnace, a boiler, and a hybrid system. A tutorial gives brief background to the theory and programming of each application, plus a stepwise set of objectives to illustrate the main features. The simulations include... -
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kalman-cpp
Implementation of the Kalman filter and Extended Kalman filter in C++
Implementation of the Kalman filter and Extended Kalman filter in C++ -
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(RoboSim) Robot Simulator
(RoboSim) Java based Robot Localization and Path Planner Simulator.
... Range Finder (Experimental) 3.Kalman Filter 4.Particles Filter 5.Path Planning 6.Path Smoothing 7.PID Controller Path Planning Algorithms 1.BFS 2.DFS 3.A Star 4. Dynamic Programming Heuristics i. Euclidean Distance ii. Euclidean Distance(+) iii. Euclidean Distance(*) iv. Euclidean Distance Squared v. Manhattan Distance vi. Chebyshev Distance -
BackBox seamlessly integrates with network monitoring and NetOps platforms and automates configuration backups, restores, and change detection. BackBox also provides before and after config diffs for change management, and automated remediation of discovered network security issues.
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Python Control Systems Library
Feedback control system analysis and design
The Python Control Systems Library, python-control, is a python module that implements basic operations for analysis and design of feedback control systems. This homepage for this project is at http://python-control.org and the code base in maintained at https://github.com/python-control/python-control. Information on this page is out of date, but left here for posterity. -
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Motion Capture Data Acquisiton Tool
Human body movement data acquisition, processing and visualization
The tool allows for data acquisition from triads of accelerometers, angular rate sensors and magnetometers to be transformed into human body movements. There are different SW blocks including: unit interconnection, data calibration, data processing and visualization. The data are calibrated by six-position test or two-step algorithm and processed by Extended Kalman Filter or Unscented Kalman Filter. The final data are fitted to the human body model including its limitations... -
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This application allows to track multiple agents in a indoor wireless sensor network through an implementation of a variant extended Kalman filter.
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Moving Target Detection 2D
Moving target detection in 2D using Kalman Filter
Moving target detection in 2D using Kalman Filter written in JS for demo purposes. -
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CUSPKalman
Particle tracking in inhomogeneous B field based on Kalman filter
Particle tracking in inhomogeneous B field based on Kalman filter -
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EMGU Kalman Filter
Kalman Filter for EMGU Image Processing Applications
The Kalman filter is an algorithm which operates recursively on streams of noisy input data to produce a statistically optimal estimate of the underlying system state (Original Paper). The filter is named for Rudolf (Rudy) E. Kálmán, one of the primary developers of its theory. More information is available at Wikipedia, the Kalmn Filter was derived to solve the Wiener filter problem. The Wiener filter problem is to reduce the amount of noise present in a signal by comparison with an estimation... -
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Ex-Yu Radio
Ex-Yu Radio
Ex Yu Radio - Audio Video Chat Lista Radio Stanice Ex-Yu Radio Dijaspora BN Radio Ex-Yu Radio Bor Juzni Vetar Radio Gora FM Stereo Dragas Radio Gora Dragas - Auto Dj Kalman Radio Pink Radio Radio City Podgorica Radio Bosanska Posavina -
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A MATLAB toolbox for time series analysis using state space models. Supports fully interactive model construction with MATLAB objects and efficient Kalman filter backend implemented in c.
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libnxter is a collection of robot utilities for lego mindstorms nxt robotics kit, written in NXC language, and currently implements: two wheel drive vehicle, odometer, motor control, sonar, integer matrix algebra, vectors, PID control and kalman filter.
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ManFieLd is an easy-to-use framework to develop filtering applications for Distributed System, relieving the burden of the developer to write the support code for the filtering methods.
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Project ready to essay with OpenCv libraries, using QT. Created in Windows but possibly easy to compile in other OpenCv and QT compatible systems.
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This project has been renamed to oooark. Old file releases will still be available here. uvsim is a project focused on enabling algorithm development for unmanned systems. It is being constructed to provide an identical interface to simulations and h
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It consists of two parts...denial of service attack and kalman filter...source code is written in C...