Books on waves with Fourier Transforms

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Discussion Overview

The discussion focuses on the search for books that provide a thorough treatment of Fourier analysis, particularly Fourier Transforms, in the context of waves and oscillations. Participants explore various resources, including academic papers and suggestions for textbooks that may cover the topic in an intuitive manner.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant expresses a desire for comprehensive books on waves and oscillations that include thorough discussions of Fourier analysis, noting that many existing resources only provide brief treatments.
  • Another participant shares links to several academic papers that might be useful, though they mention that these papers are more practical than thorough.
  • A different participant suggests searching for lecture notes or resources online, indicating that the subject can be approached from various viewpoints and levels of complexity.
  • Recommendations are made for typical "math methods for physics" or "advanced engineering mathematics" books, with a caution that the quality of these resources is uncertain.
  • One participant questions the comparison between an EI method discussed in a paper and zero-padding prior to FFT, raising points about accuracy and the implications of adding unmeasured data to datasets.
  • Another participant acknowledges the helpfulness of the suggestions and invites further contributions.
  • A later reply includes an apology for not reading a part of the paper carefully, indicating an ongoing engagement with the material discussed.

Areas of Agreement / Disagreement

Participants do not reach a consensus on specific recommended books, and multiple competing views on the best resources and methods for Fourier analysis remain present throughout the discussion.

Contextual Notes

Some suggestions depend on the reader's specific needs and the definitions of terms used in Fourier analysis, which may not be universally agreed upon. The discussion also reflects varying levels of familiarity with the subject matter among participants.

Joker93
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There are many waves and oscillations books out there that also include Fourier analysis but very few give the subject a thorough treatment, they just pass it in a few pages. If anybody has any sources(particularly books) that have Fourier analysis and particularly Fourier Transforms, I would appreciate if he could share his information with me.

Waves, Oscillations, Quantum Mechanics or Mathematics books are all ok if they have an intuitive Fourier analysis in them.
 
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Adam Landos,

I'm not sure exactly what you are looking for. Have you tried the obvious google searches? For example "fourier transform notes physics" provided many pdf files of notes from physics faculty on Fourier analysis. Perhaps one is useful for you. This subject can be presented with many different viewpoints at many different levels. One book I like (but which is probably not what you want) is:
https://see.stanford.edu/materials/lsoftaee261/book-fall-07.pdfDr. Courtney,

Interesting papers. I do have a question: how does your EI method in the third paper compare with simple zero-padding prior to FFT? This would give you the higher sample rate in the frequency domain, effectively using sinc interpolation.

jason
 
jasonRF said:
Dr. Courtney,

Interesting papers. I do have a question: how does your EI method in the third paper compare with simple zero-padding prior to FFT? This would give you the higher sample rate in the frequency domain, effectively using sinc interpolation.

jason

In all the cases we've tested, the results are equivalent to within rounding errors related to machine precision. The tradeoffs between zero padding and the EI method are discussed in detail on pp 17-18 of the paper, but we prefer the EI method for several reasons:

1. Taking smaller frequency steps continues to increase accuracy for steps as small as 1/100 th the FFT bin size. Zero padding a 100,000 point data set out to 10 million points does not make sense. If a time series was only sampled for 1 second (or 1 year), padding the data to 100 seconds (or 100 years) may be technically equivalent, but it seems dishonest.

2. It is better not to teach students to add data to a data set that is not actually measured. This is a very rare case in all of data analysis where doing so may be rigorously justified, and students and younger scientists may not appreciate the subtle distinctions between this rare case and scientific dishonesty.

3. If only a small number of peaks are of interest, the EI method can be more effficient, because the whole spectrum need not be computed.

4. The EI method does not require evenly sampled time series.
 
Thank you all.Your suggestions where very helpful. If anyone else has anything more to suggest, please feel free.
 
Dr. Courtney,

Thanks for your reply. My apologies for obviously not carefully reading that part of the paper!

EDIT: the above is more honestly stated: my apologies for not reading that part of the paper!

jason
 
Last edited:

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