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  • Read Analog Sensors Data using Arduino
  • Filter noise using Low Pass Filter
  • Analyze, Filter and Convert Sensor Readings
  • Filter noise using High Pass Filter
  • Filter noise using Band Pass Filter
  • Filter noise using Stop Pass Filter
  • Filter noise using Moving Average Filter
  • Filter noise using Normal Average Filter
  • Learn the difference between different filters and which to use and when
  • Learn how to code each filter in Arduino C Coding
  • Use sensor data to achieve project goals

Read any Noisy Sensor Data and use different types of filters to reduce the noise and convert RAW data to useable data
 
Sensors and microcontrollers allow us to turn real-life phenomena into simple numerical signals that we can learn from. However, the raw output from the sensor may not be sufficient to extract desired information from. Real hardware is subject to interference and noise from the environment.
 
Filtering is a simple technique that you can use to smooth out the signal, removing noise and making it easier to learn from the sensor output. This course introduces the concept of filters in different types and how to incorporate them into your design.
 
Measurements from the real world often contain noise. Loosely speaking, noise is just the part of the signal you didn’t want. Maybe it comes from electrical noise: the random variations you see when calling analogRead on a sensor that should be stable. Noise also arises from real effects on the sensor. Vibration from the engine adds noise .. etc
 
Filtering is a method to remove some of the unwanted signals to leave a smoother result.

  • An Internet Connection
  • Basic knowledge in Programming
  • Anyone Interested in Filtering Noise from different Sensors using Microcontrollers like Arduino
  • Anyone Interested in Learning how to code filters using Arduino C Programming
  • Anyone Interested in Learning New Things about Arduino
  • Anyone with slight interest in making great things
  • Arduino Geeks
  • Electronics Geeks
  • Hardware developers
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  • Section 1 : Sensor Data with Filters 16 Lectures 01:37:19

    • Lecture 1 :
    • Lecture 2 :
    • Who We Are
    • Lecture 3 :
    • What is A Moving Average Filter
    • Lecture 4 :
    • Coding Moving Average Filter
    • Lecture 5 :
    • Moving Average Filter Result
    • Lecture 6 :
    • Different Types of Filters available and how they work
    • Lecture 7 :
    • Averaging Filter Coding
    • Lecture 8 :
    • Running Average Filter Coding
    • Lecture 9 :
    • Low Pass Filter and EMA
    • Lecture 10 :
    • Low pass filter in action
    • Lecture 11 :
    • High Pass Filter Coding
    • Lecture 12 :
    • High Pass Filter in Action
    • Lecture 13 :
    • Band Pass Filter Coding
    • Lecture 14 :
    • BandPass Filter in Action
    • Lecture 15 :
    • BandStop Filter Coding
    • Lecture 16 :
    • BandStop Filter in Action
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My passion is inspiring people through online courses. I love learning new skills, and since 2007 have been teaching people like you everything I know. Through my online learning business, Educational Engineering School, I create courses that teach you how to become the better version of yourself with all kinds of skills. What would you like to learn? Would you like to make money being an Embedded System Developer? Would you like to build your own 6-figure business? Would you like to learn how to code, circuit design or solder electronic components? Would you like to make better projects? Would you like to start an embedded system career, create great projects, kick start an idea, program, simulate, and create PCB Boards, launch a freelance career? If you want to do any of these things, just enroll in the course. You have a 30-day money back guarantee if you don't like it. And I'm always improving my courses so that they stay up to date and the best that they can be. Check them out, and enroll today!
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