Signal processing involves converting or transforming data in a way that allows us to see things in it that are not possible via direct observation. Signal processing allows engineers and scientists to analyze, optimize, and correct signals, including scientific data, audio streams, images, and video.

In any field of science or industry you can see application of Signal processing. Following items are several examples of signal processing:

  • Audio compression in telephone lines, smart phones, or VoIP lines

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  • Image edition, restoration, or image enhancement and graphics processin


  • Video editing, compression


  • Speech recognition


  • RADAR, SONAR, and LiDAR signal processing and signal optimization
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  • Geophysical applications, including oil exploration.

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  • Data transmission, including error detection and error correction.

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  • Economic modeling and analysis. Estimating stocks or digital currencies trade

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  • Medical applications, especially imagery (CAT and MRI)

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  • Weather forecasting

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  • Intelligent transformation system. Fining speeding cars, and road administration

Intelligent Transportation Systems

  • Radio frequency identification for goods, human, or animals.

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