Showing 5 open source projects for "histogram"

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  • 1
    ProStack

    ProStack

    ProStack - a platform for image processing and analysis

    ProStack - a platform for image processing and analysis. It implements various image processing methods as separate modules, that can be joined in a complex image processing scenario by use of a graphical user interface. RPMs are available at https://build.opensuse.org/project/repositories/home:mackoel:compbio
    Downloads: 1 This Week
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  • 2
    Jam--Nuclear Physics Data Acquisition

    Jam--Nuclear Physics Data Acquisition

    Java-based nuclear physics data acquisition.

    This project now lives at https://github.com/dwvisser/jam-daq-code/ Jam is an easy-to-use self-contained data acquisition and analysis system for VME-based (or CAMAC-based) nuclear physics experiments. Jam has an easy, standard GUI for taking and sorting multi-parameter event-based data into 1-d and 2-d histograms.
    Downloads: 0 This Week
    Last Update:
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  • 3

    (RoboSim) Robot Simulator

    (RoboSim) Java based Robot Localization and Path Planner Simulator.

    ...The source code is available on Github where you can find latest development and up-to-date documentation. Source : https://github.com/habsoft/robosim Blog : https://robosimblog.wordpress.com Note : Use jre 1.7 to run it. 1.Histogram Filter 2.Histogram Filter with Sonar 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. ...
    Downloads: 3 This Week
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  • 4
    SimulME
    SimulME is a Java ME (J2ME) application with Queueing calculator, Stopwatch, Monte Carlo simulation, Random Number Generator (RNG), Probability distributions, Kolmogorov-Smirnov and Chi-square tests. It works with MIDP 2.0 and CLDC 1.1 profiles.
    Downloads: 3 This Week
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  • 5
    A histogram library for Java that accepts large datasets with any distribution or range with a very small memory footprint, needs no pre- or post-processing, and provides several statistical functions.
    Downloads: 0 This Week
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