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Clean Sensor Data with Filters Play Image

Clean Sensor Data with Filters

Learn how to filter noisy sensor data using various filtering techniques! Master Arduino C coding for sensor data processing and achieve precise, reliable readings.

3.4 Rating star
23 Ratings
6,901 Enrolled

Created By Ashraf Said AlMadhoun

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Course specifications
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2:36 Hours
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15 Files
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Lifetime/ Unlimited
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Certificate of completion
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Created on 7 Mar 2025
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Last Updated 7 Mar 2025
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$17.99 $19.99
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What You’ll Learn

Mastering Sensor Data Filtering

  • Understand why noise appears in sensor data and how to clean it.
  • Learn about various filter types including Low Pass, High Pass, Band Pass, and Stop Pass Filters.
  • Implement Moving Average and Normal Averaging Filters for smoother sensor readings.
  • Analyze, filter, and convert raw sensor readings for enhanced accuracy.
  • Write optimized Arduino C code to apply filters effectively.

Hands-On Practical Applications

  • Wire and connect analog sensors to your Arduino board.
  • Learn how to implement filtering techniques using Microcontrollers like Arduino.
  • Compare filtered vs. unfiltered data to see improvements in real-time.

Requirements

  • An Internet connection for accessing course resources.
  • Basic knowledge of Arduino programming and electronics.
  • An Arduino board and necessary sensor modules.
  • A desire to enhance sensor data accuracy with hands-on projects.

Description

Why Take This Course?

  • Real-world sensors produce noisy data—learn how to filter it effectively.
  • Gain expertise in MATLAB-style filters and Arduino C programming.
  • Apply various filtering techniques without additional hardware.
  • Understand the differences between filtering methods and when to use each.

What You’ll Achieve

  • Master filtering techniques to extract clean data from sensors.
  • Improve sensor accuracy in robotics, weather stations, and automation projects.
  • Build Arduino-powered systems that make intelligent decisions based on real-time data.

Who Should Enroll?

  • Arduino enthusiasts wanting to refine their sensor-based projects.
  • Hobbyists and makers seeking better data accuracy.
  • Students and engineers interested in signal processing and embedded systems.
  • Anyone looking to master real-world sensor data filtering techniques.

Course content

11 sections | 15 lectures | 2:36 total length
Expand all sections
1. Introduction & Getting Started
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Video Icon 1. Introduction
44.05 MB
2. Moving Average Filter
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Video Icon 1. What is A Moving Average Filter
14.69 MB
Video Icon 2. Coding Moving Average Filter
62.40 MB
Video Icon 3. Moving Average Filter Result
28.65 MB
3. Different Types of Filters available and how they work
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Video Icon 1. Different Types of Filters available and how they work
30.79 MB
4. Averaging Filter
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Video Icon 1. Averaging Filter Coding
43.11 MB
5. Running Average Filter
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Video Icon 1. Running Average Filter Coding
70.09 MB
6. Low Pass Filter and EMA
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Video Icon 1. Low Pass Filter and EMA
79.42 MB
Video Icon 2. Low pass filter in action
12.80 MB
7. High Pass Filter
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Video Icon 1. High Pass Filter Coding
37.46 MB
Video Icon 2. High Pass Filter in Action
34.26 MB
8. Band Pass Filter
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Video Icon 1. Band Pass Filter Coding
49.96 MB
Video Icon 2. BandPass Filter in Action
38.06 MB
9. BandStop Filter
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Video Icon 1. BandStop Filter Coding
40.60 MB
Video Icon 2. BandStop Filter in Action
28.03 MB

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Instructor

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3.8 Instructor Rating
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613781 Students Enrolled
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94 Courses

Ashraf Said AlMadhoun is a passionate educator and entrepreneur dedicated to inspiring individuals through online learning. Since 2007, Ashraf has been teaching thousands of students via his online education platform, Educational Engineering School, helping them acquire new skills and unlock their potential to become better versions of themselves.

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