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Category: Misc
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Category: Misc
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I’m an artificial intelligence and robotics engineer. I was graduated in M.sc artificial intelligence and robotic and currently works as machine vision system designer. Recently, I developed a vehicle speed enforcement project using image processing.
When I was studying during my M.sc, I found out that many students struggling in my field. I can divide the problems as following:
1. students who do not love AI or software developments
2. students who do not know anything about programming but love AI / Software development (!!!)
3. students who love software developments but not AI
4. students who love both of them but fear from the learning  fundamental concept of AI and prefer to just run codes.
5. students who love both of them, really. In other words, they dedicate themselves to AI and software developments.
Here, I can say that this website may be useless or boring for students included in range of 1 to 3. For type 4 of students, I’ll write blogs and some codes to show, you can take benefits of AI, especially machine vision and deep learning without too much hassle in math. I read new articles in machine vision and AI and try to implement them, or at least write an abstract of them.
As all people, I’m not error-proof. So, I may be wrong sometimes too. Please don’t hesitate and tell me any mistake and your advices.

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Category: Misc
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Signal Processing

A signal is an electrical impulse or a wave that carries information. This refers to the changing currents, or voltages, or electromagnetic waves that transmit data at any point in electrical systems.

Signal processing is an electrical engineering subfield that focuses on analyzing, modifying, and synthesizing signals, such as sound, images, potential fields, seismic signals, altimetry processing, and scientific measurements.

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
  • Image edition, restoration, or image enhancement and graphics processin
  • Video editing, compression
  • Speech recognition
  • RADAR, SONAR, and LiDAR signal processing and signal optimization
  • Geophysical applications, including oil exploration.
  • Data transmission, including error detection and error correction.
  • Economic modeling and analysis. Estimating stocks or digital currencies trade
  • Medical applications, especially imagery (CAT and MRI)
  • Weather forecasting
  • Intelligent transformation system. Fining speeding cars, and road administration
  • Radio frequency identification for goods, human, or animals.

 

Resources:

https://dewesoft.com/daq/what-is-signal-processing

https://en.wikipedia.org/wiki/Signal_processing

https://www.ssla.co.uk/basic-signal-processing

https://www.forbes.com/sites/cindygordon/2021/12/23/a-market-to-harness-speech-recognition-artificial-intelligence-ai-innovations-on-the-rise/?sh=3a9c5f4d134d

https://community.wacom.com/us/improve-your-workflow-in-adobe-premiere/

https://www.visartscenter.org/event/introduction-to-adobe-photoshop-2/

https://www.cnet.com/tech/services-and-software/adobe-photoshop-tests-free-version-for-web/

https://www.radartutorial.eu/11.coherent/co06.en.htm

https://www.handelsblatt.com/technik/digitale-revolution/digitale-revolution-diese-sensoren-verhelfen-dem-autonomen-fahren-zum-durchbruch-/26942726.html

https://missionblue.org/2012/07/sonar-technology-from-detecting-submarines-to-guiding-marine-management-decisions/

https://en.wikipedia.org/wiki/FM_broadcasting

https://www.ig.com/sg/bitcoin-btc/how-to-trade-bitcoin

https://www.medicalexpo.com/prod/contextvision/product-100514-787184.html

https://www.drishtiias.com/daily-updates/daily-news-analysis/doppler-weather-radar-network

https://www.rfpage.com/components-of-rfid-technology-and-applications/

Details
Category: Misc
Hits: 38

Signal Processing

A signal is an electrical impulse or a wave that carries information. This refers to the changing currents, or voltages, or electromagnetic waves that transmit data at any point in electrical systems.

Signal processing is an electrical engineering subfield that focuses on analyzing, modifying, and synthesizing signals, such as sound, images, potential fields, seismic signals, altimetry processing, and scientific measurements.

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
  • Image edition, restoration, or image enhancement and graphics processin
  • Video editing, compression
  • Speech recognition
  • RADAR, SONAR, and LiDAR signal processing and signal optimization
  • Geophysical applications, including oil exploration.
  • Data transmission, including error detection and error correction.
  • Economic modeling and analysis. Estimating stocks or digital currencies trade
  • Medical applications, especially imagery (CAT and MRI)
  • Weather forecasting
  • Intelligent transformation system. Fining speeding cars, and road administration
  • Radio frequency identification for goods, human, or animals.

 

Resources:

https://dewesoft.com/daq/what-is-signal-processing

https://en.wikipedia.org/wiki/Signal_processing

https://www.ssla.co.uk/basic-signal-processing

https://www.forbes.com/sites/cindygordon/2021/12/23/a-market-to-harness-speech-recognition-artificial-intelligence-ai-innovations-on-the-rise/?sh=3a9c5f4d134d

https://community.wacom.com/us/improve-your-workflow-in-adobe-premiere/

https://www.visartscenter.org/event/introduction-to-adobe-photoshop-2/

https://www.cnet.com/tech/services-and-software/adobe-photoshop-tests-free-version-for-web/

https://www.radartutorial.eu/11.coherent/co06.en.htm

https://www.handelsblatt.com/technik/digitale-revolution/digitale-revolution-diese-sensoren-verhelfen-dem-autonomen-fahren-zum-durchbruch-/26942726.html

https://missionblue.org/2012/07/sonar-technology-from-detecting-submarines-to-guiding-marine-management-decisions/

https://en.wikipedia.org/wiki/FM_broadcasting

https://www.ig.com/sg/bitcoin-btc/how-to-trade-bitcoin

https://www.medicalexpo.com/prod/contextvision/product-100514-787184.html

https://www.drishtiias.com/daily-updates/daily-news-analysis/doppler-weather-radar-network

https://www.rfpage.com/components-of-rfid-technology-and-applications/

Details
Category: Misc
Hits: 45

Signal Processing

A signal is an electrical impulse or a wave that carries information. This refers to the changing currents, or voltages, or electromagnetic waves that transmit data at any point in electrical systems.

Signal processing is an electrical engineering subfield that focuses on analyzing, modifying, and synthesizing signals, such as sound, images, potential fields, seismic signals, altimetry processing, and scientific measurements.

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
  • Image edition, restoration, or image enhancement and graphics processin
  • Video editing, compression
  • Speech recognition
  • RADAR, SONAR, and LiDAR signal processing and signal optimization
  • Geophysical applications, including oil exploration.
  • Data transmission, including error detection and error correction.
  • Economic modeling and analysis. Estimating stocks or digital currencies trade
  • Medical applications, especially imagery (CAT and MRI)
  • Weather forecasting
  • Intelligent transformation system. Fining speeding cars, and road administration
  • Radio frequency identification for goods, human, or animals.

 

Resources:

https://dewesoft.com/daq/what-is-signal-processing

https://en.wikipedia.org/wiki/Signal_processing

https://www.ssla.co.uk/basic-signal-processing

https://www.forbes.com/sites/cindygordon/2021/12/23/a-market-to-harness-speech-recognition-artificial-intelligence-ai-innovations-on-the-rise/?sh=3a9c5f4d134d

https://community.wacom.com/us/improve-your-workflow-in-adobe-premiere/

https://www.visartscenter.org/event/introduction-to-adobe-photoshop-2/

https://www.cnet.com/tech/services-and-software/adobe-photoshop-tests-free-version-for-web/

https://www.radartutorial.eu/11.coherent/co06.en.htm

https://www.handelsblatt.com/technik/digitale-revolution/digitale-revolution-diese-sensoren-verhelfen-dem-autonomen-fahren-zum-durchbruch-/26942726.html

https://missionblue.org/2012/07/sonar-technology-from-detecting-submarines-to-guiding-marine-management-decisions/

https://en.wikipedia.org/wiki/FM_broadcasting

https://www.ig.com/sg/bitcoin-btc/how-to-trade-bitcoin

https://www.medicalexpo.com/prod/contextvision/product-100514-787184.html

https://www.drishtiias.com/daily-updates/daily-news-analysis/doppler-weather-radar-network

https://www.rfpage.com/components-of-rfid-technology-and-applications/

  1. Google Colab
  2. OCR