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Showing 5 open source projects for "python signal"

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  • 1
    Signal Ranger DSP Linux Support Tools
    This project delivers Linux support (USB driver and Tools) for a Digital Signal Processor (DSP) cards of the Signal Ranger series, see http://www.softdb.com/product_dsp.shtml for details) connected to a Linux host via USB.
    1 Review
    Downloads: 0 This Week
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  • 2
    GXSM

    GXSM

    Scanning Probe Microscopy Controller and Data Visualization Software

    GXSM -- Gnome X Scanning Microscopy: A multi-channel image and vector-probe data acquisition and visualization system designed for SPM techniques (STM,AFM..), but also SPA-LEED/LEED/LEEM data analysis. A plug-in interface allows any user add-on data-processing and special hardware and instrument support. Latest: NC-AFM and related explorative methods as SQDM can be configured. High-Speed external PAC-PLL hardware option with digital DSP link. Based on several hardware options it supports...
    2 Reviews
    Downloads: 1 This Week
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  • 3
    AnyWave is a multi-platform software designed for neurologists and researchers who want to visualise and apply signal processing on electrophysiological signals. AnyWave can handle EEG, SEEG, MEG and more. MATLAB/Python/C++ plugins can be added. See this wiki section to learn how to build AnyWave on Linux : http://meg.univ-amu.fr/wiki/AnyWave:BuildSDK
    Downloads: 2 This Week
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  • 4
    sigrok
    The sigrok project aims at creating a portable, cross-platform, Free/Libre/Open-Source signal analysis software suite that supports various device types, such as logic analyzers, MSOs, oscilloscopes, multimeters, LCR meters, sound level meters, thermometers, anemometers, light meters, dataloggers, function generators, power supplies, GPIB interfaces, and more.
    5 Reviews
    Downloads: 1 This Week
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  • 5
    pySPACE

    pySPACE

    Signal Processing and Classification Environment in Python using YAML

    pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due...
    Downloads: 0 This Week
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