Showing 4 open source projects for "computer based training"

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  • 1
    echoes

    echoes

    Echoes is a radio spectral analysis software for SDR devices

    Echoes it's a radio spectral analysis software for SDR devices, designed for meteor scattering purposes. The older releases supported only RTL-SDR devices. They are very cheap SDR based on DVB-T TV tuner dongles based on Realtek's RTL2832U chipset. Starting from 0.50 Echoes embeds SoapySDR allowing the support of many other SDRs. Echoes doesn't demodulate neither decode any human-made signal. Its main goal is to analyze and record the total power of natural signals and generate...
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    Downloads: 84 This Week
    Last Update:
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  • 2
    U-Net Fusion RFI

    U-Net Fusion RFI

    U-Net for RFI Detection based on @jakeret's implementation

    See original code here: https://github.com/jakeret/tf_unet Currently this project is based on Tensorflow 1.13 code base and there are no plans to transfer to TF version 2. The primary improvements to this code base include a training and evaluation framework, along with a fusion based approach to detection, combining a number of models (currently hard coded to two trained models) along with Sum Threshold as an additional "expert."
    Downloads: 0 This Week
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  • 3

    libnexstar

    C API to control NexStar compatible telescopes

    ...Communication to the hand control is 9600 bits/sec, no parity and one stop bit via the RS-232 port on the base of the hand control. Communication can be established over TCP/IP if nexbridge is running on the computer connected to the telescope. To control network based telescopes nexbridge must be used on the remote site. https://sourceforge.net/projects/nexbridge/
    Downloads: 0 This Week
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  • 4
    This program tries to emulate the meade telescope control system (tcs) in a computer, so to create a working system for the tololo telescope of the "Pontificia Universidad Catolica de Chile". The system is intended to be controlled via a web interface.
    Downloads: 0 This Week
    Last Update:
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