Python for Digital Signal Processing (DSP) From Ground Up

Digital Signal Processing on ARM : DFT, Filter Design, Convolution, IIR, FIR, CMSIS-DSP, Linear Systems

Created by: Israel Gbati
Embedded Firmware Engineer

Created by: BHM Engineering Academy
21st Century Engineering Academy

What Will I Learn?

• Develop efficient DSP algorithms using MAC and SIMD instructions
• Develop RealTime Digital Signal Proceesing firmware
• Understand Cortex-M4, M7 DSP optimization strategies
• Master the CMSIS-DSP Library
• Develop and test the Convolution Kernel algorithm on ARM Processors
• Perform convolution using the ARM CMSIS-DSP Library
• 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
• Develop and test the Fast Fourier Transform (FFT) algorithm on ARM Processors
• Perform Fast Fourier Transform (FFT) using the CMSIS-DSP Library
• Perform spectral analysis on ECG signals on ARM Processors
• Develop Windowed-Sinc filters on ARM Processors
• Develop Finite Impulse Response (FIR) filters on ARM Processors
• Develop Infinite Impulse Response (IIR) filters on ARM Processors
• Setup Finite Impulse Response (FIR) filters using the CMSIS-DSP Library
• Setup Infinite Impulse Response (FIR) filters using the CMSIS-DSP Library
• Build passive Low-pass and High-pass filters
• Build Modified Sallen-Key filters
• Build Bessel, Chebyshev and Butterworth filters
• Suppress noise in signals
• Give a lecture on Digital Signal Processing (DSP)

Requirements

• No programming experience needed - I'll teach you everything you need to know.
• You will need the STM32F411-NUCLEO Board
• We shall be using the STM32 IDE which is FREE.

Target audience

• If you are an experienced embedded developer and want to learn how to professionally develop embedded applications for ARM processors, then take this course.
• If you are an absolute beginner to embedded systems, then take this course.