Digital Signal Processing (DSP) From Ground Up™ with MATLAB

Online Course

Udemy
Digital Signal Processing (DSP) From Ground Up™ with MATLAB

What is the course about?

Digital Signal Processing (DSP) From Ground Up™ with MATLAB
The course Digital Signal Processing (DSP) From Ground Up™ with MATLAB 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 with Matlab : FFT, Filter Design, Convolution, IIR, FIR, Hamming Window, Linear Systems, ECG processing

Course description
  • Digital Signal Processing (DSP) From Ground Up™ with MATLAB
  • Be able to perform convolution with matlab
  • Be able to perform Fast Fourier Transform (FFT) with matlab
  • Be able to perform Inverse Fast Fourier Transform (IFFT) with matlab
  • Be able to perform spectral analysis of ECG signals with matlab
  • Be able to design Finite Impulse Response (FIR) filters with matlab
  • Having basic programming skills is a plus
  • 5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Israel Gbati

Prerequisites & Facts

Digital Signal Processing (DSP) From Ground Up™ with MATLAB

Course Topic

Development, Development Tools, 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™ with MATLAB

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™ with MATLAB
provided by Udemy

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School: Udemy
Topic: Development, Development Tools, Signal Processing