Digital Signal Processing (DSP) From Ground Up™ in C

Online Course

Udemy
Digital Signal Processing (DSP) From Ground Up™ in C

What is the course about?

Digital Signal Processing (DSP) From Ground Up™ in C
The course Digital Signal Processing (DSP) From Ground Up™ in C 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.

Practical DSP in C : FFT, Filter Design, Convolution, IIR, FIR, Hamming Window, Linear Systems, Chebyshev filters etc

Course description
  • Digital Signal Processing (DSP) From Ground Up™ in C
  • Be able to develop the Convolution Kernel algorithm in C
  • Be able able to develop the Discrete Fourier Transform (DFT) algorithm in C
  • Be able to develop the Inverse Discrete Fourier Transform (IDFT) algorithm in C
  • Be able to develop the Fast Fourier Transform (FFT) algorithm in C
  • Be able to perform spectral analysis on ECG signals in C
  • Having basic C programming skills is a plus
  • 7.5 hours on-demand video
  • 1 article
  • 18 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Israel Gbati

Prerequisites & Facts

Digital Signal Processing (DSP) From Ground Up™ in C

Course Topic

Development, Programming Languages, Signal Processing

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

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

Degree

Certificate

Degree & Cost

Digital Signal Processing (DSP) From Ground Up™ in C

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
Digital Signal Processing (DSP) From Ground Up™ in C
provided by Udemy

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School: Udemy
Topic: Development, Programming Languages, Signal Processing