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 focuses on developing DSP algorithms for ARM microcontrollers leveraging the microcontrollers features such SIMD, MAC, Floating Point Unit (FPU) and the ARM CMSIS-DSP Library.

By the end of this course you should be able develop efficient DSP algorithms using MAC and SIMD instructions , develop RealTime Digital Signal Processing firmware , master the CMSIS-DSP Library, develop and test the Convolution Kernel algorithm on ARM processors, develop and test the Discrete Fourier Transform (DFT) algorithm on ARM processors, develop  and  test the Inverse Discrete Fourier Transform (IDFT) algorithm on ARM processors, design and develop Finite Impulse Response (FIR) filters on ARM processors, design and develop Infinite Impulse Response (IIR) filters on ARM processors, develop Windowed-Sinc filters  on ARM procesors, 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
  • Embedded Systems Engineers
  • Hobbyists
  • Embedded Systems Instructors

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