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Chris@82:Chris@82: Next: Other Important Topics, Previous: Introduction, Up: Top [Contents][Index]
Chris@82:• Complex One-Dimensional DFTs: | Chris@82: | |
• Complex Multi-Dimensional DFTs: | Chris@82: | |
• One-Dimensional DFTs of Real Data: | Chris@82: | |
• Multi-Dimensional DFTs of Real Data: | Chris@82: | |
• More DFTs of Real Data: | Chris@82: |
This chapter describes the basic usage of FFTW, i.e., how to compute Chris@82: Chris@82: the Fourier transform of a single array. This chapter tells the Chris@82: truth, but not the whole truth. Specifically, FFTW implements Chris@82: additional routines and flags that are not documented here, although Chris@82: in many cases we try to indicate where added capabilities exist. For Chris@82: more complete information, see FFTW Reference. (Note that you Chris@82: need to compile and install FFTW before you can use it in a program. Chris@82: For the details of the installation, see Installation and Customization.) Chris@82:
Chris@82:We recommend that you read this tutorial in order.1 At the least, read the first section (see Complex One-Dimensional DFTs) before reading any of the others, even if your Chris@82: main interest lies in one of the other transform types. Chris@82:
Chris@82:Users of FFTW version 2 and earlier may also want to read Upgrading from FFTW version 2. Chris@82:
Chris@82:You can Chris@82: read the tutorial in bit-reversed order after computing your first Chris@82: transform.
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