DSP From Ground Up™ on ARM Processors

Online Course

Udemy
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DSP From Ground Up™ on ARM Processors
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

DSP From Ground Up™ on ARM Processors
The course DSP From Ground Up™ on ARM Processors is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

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

Course description
  • DSP From Ground Up™ on ARM Processors
  • 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
  • Having basic C programming skills is a plus
  • You will need an STM32F411-DISCO Board
  • 12 hours on-demand video
  • 1 article
  • 10 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Israel Gbati
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Prerequisites & Facts

DSP From Ground Up™ on ARM Processors

Course Topic

AWS Certification, IT & Software, IT Certification

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

DSP From Ground Up™ on ARM Processors

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
DSP From Ground Up™ on ARM Processors
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Reviews

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School: Udemy
Topic: Hardware, IT & Software, Signal Processing

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