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Related Concept Videos

Convolution Properties II01:17

Convolution Properties II

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The important convolution properties include width, area, differentiation, and integration properties.
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
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Convolution computations can be simplified by utilizing their inherent properties.
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Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
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Multi-kernel convolutional neural network with attention mechanism for RonS detection

Tianle Zhu1, Dinghan Hu2, Tiejia Jiang3

  • 1Machine Learning and I-health International Cooperation Base of Zhejiang Province, and School of Automation, Hangzhou Dianzi University, Hangzhou, 310018, China.

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No abstract available in PubMed .

Keywords:
Neural networkPower spectral density weightingRipples-on-spikes detectionSignal processing

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