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The Fourier Transform and Its Applications
 
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The Fourier Transform and Its Applications [Hardcover]

Ronald Bracewell (Author)
4.1 out of 5 stars  See all reviews (14 customer reviews)


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The Fourier Transform & Its Applications The Fourier Transform & Its Applications 4.1 out of 5 stars (14)
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Book Description

0070070156 978-0070070158 February 1, 1986 2nd Revisd
This text is designed for use in a senior undergraduate or graduate level course in Fourier Transforms. This text differs from many other fourier transform books in its emphasis on applications. Bracewell applies mathematical concepts to the physical world throughout this text, equipping students to think about the world and physics in terms of transforms. The pedagogy in this classic text is excellent. The author has included such tools as the pictorial dictionary of transforms and bibliographic references. In addition, there are many excellent problems throughout this book, which are more than mathematical exercises, often requiring students to think in terms of specific situations or asking for educated opinions. To aid students further, discussions of many of the problems can be found at the end of the book.
--This text refers to an out of print or unavailable edition of this title.


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About the Author

Ronald Bracewell (Stanford, CT) is the L.M. Terman Professor Emeritus of Electrical Engineering at Stanford University. --This text refers to an out of print or unavailable edition of this title.

Product Details

  • Hardcover: 486 pages
  • Publisher: Mcgraw-Hill College; 2nd Revisd edition (February 1, 1986)
  • Language: English
  • ISBN-10: 0070070156
  • ISBN-13: 978-0070070158
  • Product Dimensions: 9.1 x 6 x 1.1 inches
  • Shipping Weight: 1.6 pounds
  • Average Customer Review: 4.1 out of 5 stars  See all reviews (14 customer reviews)
  • Amazon Best Sellers Rank: #866,666 in Books (See Top 100 in Books)

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Customer Reviews

14 Reviews
5 star:
 (9)
4 star:
 (2)
3 star:    (0)
2 star:
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1 star:
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Average Customer Review
4.1 out of 5 stars (14 customer reviews)
 
 
 
 
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43 of 46 people found the following review helpful:
5.0 out of 5 stars The best of the best on Fourier theory, May 6, 1999
By 
"yymao" (Toronto, Ontario Canada) - See all my reviews
This book by the Fourier monoply, Ronald Bracewell, is absolutely the best book on the Fourier transform. The concepts are very clearly illustrated with easily understood plain English. The whole complicated theory has been made so simple in this book. And more impressively, the whole book only employes very little complicated mathematics and still keep the theory complete and mathematically rigorous.

When reading other books on Fourier theories, I always find the authors rely too much on the mathematical derivations to develope the theory and they themselves seem to not comprehend the essence of the theory. While in this book, Bracewell made every concept intuitively sensible.

I will recommend every one who wants to learn Fourier theory to start from this book rather than any other books, which are usually rather confusing and not self-contained. You can get a 10 times deeper understanding on the whole theory with 10 times less difficulty.

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34 of 36 people found the following review helpful:
5.0 out of 5 stars excellent on fundamentals, January 24, 2000
By 
K. B. Shah (Santa Clara, CA, USA) - See all my reviews
(REAL NAME)   
If you are looking for thorough explanations with great physical insight - this is the book to get. It is for people who want to know WHY more than HOW. However, If you are looking for how (to implement), I suggest the book "Fast Fourier Transform" by Brigham
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21 of 23 people found the following review helpful:
4.0 out of 5 stars Good book on practical, fourier analysis, excellent problems, May 1, 2001
This book is an old classic in fourier analysis - it emphasizes intuitive understanding and uses images a lot to convey information, e.g. the book includes a pictorial dictionary of fourier transforms, and recommends using the method of dragging a strip of paper to get a better understanding of convolutions. The problems are challenging and very interesting, e.g. one problem asks the reader to explain the differences in spectra when reconstructing a signal by linear interpolation vs. sketching a smooth graph between the sample points by hand. (there are also easier problems for to begin with, before one tackles "engineering" questions as the one above) Highly recommended!
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