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

Online Course

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

What is the course about?

Digital Signal Processing (DSP) From Ground Up™ in Python
The course Digital Signal Processing (DSP) From Ground Up™ in Python 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 Python : Over 70 examples, FFT,Filter Design, IIR,FIR, Window Filters,Convolution,Linear Systems etc

Course description
  • Digital Signal Processing (DSP) From Ground Up™ in Python
  • Develop the Convolution Kernel algorithm in Python
  • Design and develop 17 different window filters in Python
  • Develop the Discrete Fourier Transform (DFT) algorithm in Python
  • Design and develop Type I Chebyshev filters in Python
  • Design and develop Type II Chebyshev filters in Python
  • You will need just a good working computer for this course
  • 12.5 hours on-demand video
  • 76 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 Python

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 Python

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 Python
provided by Udemy

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