Home > Courses > Other > IT & Software > Digital Signal processing
   3.1  5 reviews on Udemy

Digital Signal processing

Intuition, Theory and Applications
Course from Udemy
 56 students enrolled
 en
This course covers main concepts of digital signal processing, using intuitions not only the theory, also covers the topics with examples, and illustrations.
You will learn techniques like Correlation to find similarity between two signals.
You will apply Fourier Transform to investigate Frequencies existence inside the signal under investigation.
You will learn Laplace Transform, Z Transform and their relation to Fourier transform
You will design and apply FIR filters, IIR Filters, and their floating and fixed points representations
You will use Fourier transform to test your filters performance
You will use Convolution and know the difference between it and correlation
You will design ans apply multi-rate filters to same computation complexity
You Continuous Wavelet transform to investigate the time and frequency existence of your signal.
You will use Discrete Wavelet transform to filter ECG signals.

This course covers main concepts of digital signal processing, using intuitions not only the theory, also covers the topics with examples, and illustrations. You will learn techniques like Correlation, Fourier Transform, Laplace Transform, Z Transform, FIR filters, IIR Filters, Multirate Filters, Floating point representation,Fixed point representation, Convolution, Continuous Wavelet transform, Discrete Wavelet transform. 

Digital Signal processing
$ 19.99
per course
Also check at

FAQs About "Digital Signal processing"

About

Elektev is on a mission to organize educational content on the Internet and make it easily accessible. Elektev provides users with online course details, reviews and prices on courses aggregated from multiple online education providers.
DISCLOSURE: This page may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission.

CONTACT

[email protected]

SOCIAL NETWORK

Copyright © Elektev
Privacy Policy