Band Pass Filtering / Discrete Fourier Tansform

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SUMMARY

This discussion focuses on learning the discrete Fourier transform (DFT) with an emphasis on band-pass filtering, specifically for audio wave applications. The user is utilizing MATLAB for implementation and seeks resources to better understand convolution and the underlying algorithms. A recommended resource is "The Scientist and Engineer's Guide to Digital Signal Processing" available at http://www.dspguide.com/, which has proven beneficial for grasping these concepts.

PREREQUISITES
  • Understanding of discrete Fourier transform (DFT)
  • Familiarity with band-pass filtering techniques
  • Basic knowledge of convolution in signal processing
  • Proficiency in MATLAB for algorithm implementation
NEXT STEPS
  • Study the principles of convolution in signal processing
  • Explore MATLAB functions for implementing discrete Fourier transforms
  • Research advanced band-pass filtering techniques in audio processing
  • Read "The Scientist and Engineer's Guide to Digital Signal Processing" for comprehensive insights
USEFUL FOR

Undergraduate physics students, audio engineers, and anyone interested in digital signal processing and the application of discrete Fourier transforms in real-world data analysis.

Pythagorean
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So, I'm trying to learn how to do a discrete Fourier transform, with an emphasis on band-pass filtering (for a simple audio wave)

Can anyone suggest online resources for this? My boss let me borrow his Bracewell to study the subject but I'm already lost on convolution. I'm still an undergrad (physics) and I'm starting to think I might never be able to learn this without some graduate classes.

I'm using matlab, but for now, just understanding how to build and understand the algorithms involved would be nice, considering that I'm transforming real world data and not a simple function.
 
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This has been an excellent read so far, thank you.
 

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