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                <identifier>oai:data.mendeley.com/vpzvgdtjk2.1</identifier>
                <datestamp>2022-03-02T10:40:00Z</datestamp>
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    <dc:creator>Gillich, Gilbert-Rainer</dc:creator>
    <dc:title>DFT-ANN database</dc:title>
    <dc:publisher>Babeș-Bolyai University</dc:publisher>
    <dc:description>A set of data usable to train an ANN in order to find correction terms for different DFT amplitudes.
To generate more training data or data to test the network you can use the &quot;Data generator&quot;. First generate signals with different parameters (number of samples, sampling frequency, amplitude, phase, frequency etc.) Afterward use &quot;Python_DFT - SINC OK&quot; to find the DFT amplitudes and the correction term.   </dc:description>
    <dc:subject>Signal Processing</dc:subject>
    <dc:subject>Structural Health Monitoring</dc:subject>
    <dc:contributor>Tufisi, Cristian</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/vpzvgdtjk2.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/vpzvgdtjk2.1</dc:identifier>
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