Wavelets vs. Fourier Transforms in Signal Processing
Discover why wavelets are often preferred over Fourier transforms in signal processing, offering superior time-frequency resolution. Gain insights into the advantages of short-time FFT (STFT) and continuous wavelet transform (CWT) for improved signal analysis.
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.
E N D
Presentation Transcript
WHY WAVELETS ARE OFTEN BETTER THAN FOURIER TRANSFORMS Applied Signal Processing (ENGN 395)
Signal CWT FFT Adapted from: https://www.analog.com/en/analog-dialogue/articles/jpeg-2000-image-compression.html
Short-time FFT (STFT) chop data into small windows, apply FFT to each CWT: much better time-frequency resolution! Image credits: https://www.mathworks.com/videos/understanding-wavelets-part-4-an-example-application-of-continuous-wavelet-transform-121282.html
?? ?? ?? ?????. ?? ?? ?? ?? ??
