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Some links I found on embedded systems

how much EE do you need:

Higher complexity tasks:

pre-trained neural network on an STM32.

"Machine learning capabiltiies expected soon on microcontroller hardware"

  • I'm skeptical that it's only pre-trained networks as far as deep neural nets go... but I would bet you can run support vector machines or general linear models on micro controllers now.
  • article

2 channel oscillioscope on STM32F429 Discovery board

  • probably better than my oscilloscope...
  • video

uGui graphics / display / user interface:

Books

The CERT C Coding Standard: 98 Rules for Developing Safe, Reliable, and Secure Systems: amazon

Tutorials / kits

udemy Foundation of ARM Cortex-M Processors using STM32 Nucleo course

edX Introduction to Real-Tiem systems: Course

"STM32L4 Discovery kit IoT node"

  • Internet of things kit

  • connect to Amazon AWS cloud services

  • video

"STM32 F7 discovery board"

  • comes with peripherals

  • 216 MHz processor

  • various I/O

  • video

"STM32 Discovery hello world tutorial"

Small video intrudocuing interrupts

Development environments

Supported IDE's for STM32

GNU tools and embedded operating systems:

QT UI development on a Beaglebone using QTCreater IDE on embedded linux:

ucLinux:

Doom on STM32F429 evolution board. Uses GNU GCC ARM compiler:

"A tour of the ARM architecture and its Linux Support:

Qt Creator debuging with STM32

"why c is the best programming language" quora

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