Digital Signal Processing(DSP) From Ground Up™ using Arduino

Practical DSP on Arduino : FFT, Filter Design, Convolution, IIR, FIR, Hamming Window, Linear Systems,

What you’ll learn
✓ Develop and test the Convolution Kernel algorithm on Arduino
✓ Develop and test the Discrete Fourier Transform (DFT) algorithm on Arduino
✓ Develop and test the Inverse Discrete Fourier Transform (IDFT) on Arduino
✓ Develop and test the Fast Fourier Transform (FFT) algorithm on Arduino
✓ Perform spectral analysis on ECG signals using Arduino
✓ Design and develop Windowed-Sinc filters on Arduino
✓ Design and develop Finite Impulse Response (FIR) filters on Arduino
✓ Design and develop Infinite Impulse Response (IIR) filters on Arduino
✓ Use ARM CMSIS-DSP library on Arduino
✓ Develop the FFT-Convolution algorithm on Arduino
✓ Develop the First Difference algorithm on Arduino
✓ Develop the Running Sum algorithm on Arduino
✓ Develop the Moving Average filter algorithm on Arduino
✓ Develop the Recursive Moving Average filter algorithm on Arduino
✓ Develop signal statistical algorithms on Arduino
✓ Build passive Low-pass and High-pass filters
✓ Build Modified Sallen-Key filters
✓ Build Bessel, Chebyshev and Butterworth filters
✓ Understand all about Linear Systems and their characteristics
✓ Suppress noise in signals using Arduino
✓ Give a lecture on Digital Signal Processing (DSP)

Requirements
● Having basic arduino programming skills is a plus

Description
With a programming based approach, this course is designed to give you a solid foundation in the most useful aspects of Digital Signal Processing (DSP) in an engaging and easy to follow way. The goal of this course is to present practical techniques while avoiding obstacles of abstract mathematical theories. To achieve this goal, the DSP techniques are explained in plain language, not simply proven to be true through mathematical derivations.

Still keeping it simple, this course comes in different programming languages and hardware architectures so that students can put the techniques to practice using a programming language or hardware architecture of their choice. This version of the course uses the Arduino board and programming language.

By the end of this course you should be able develop and test the Convolution Kernel algorithm on arduino, develop and test the Discrete Fourier Transform (DFT) algorithm on arduino, develop and test the Inverse Discrete Fourier Transform (IDFT) algorithm on arduino, design and develop Finite Impulse Response (FIR) filters on arduino, design and develop Infinite Impulse Response (IIR) filters on arduino, develop Windowed-Sinc filters on arduino, build Modified Sallen-Key filters, build Bessel, Chebyshev and Butterworth filters, develop the Fast Fourier Transform (FFT) algorithm on arduino, even give a lecture on DSP and so much more. Please take a look at the full course curriculum.

Who this course is for
■ Engineering Students
■ Arduino users
■ Embedded Systems Engineers
■ Computer Engineering students
■ Hobbyists
■ Embedded Systems Instructors

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