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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Grigoryan, A.M. |
| Copyright Year | 1991 |
| Abstract | This paper presents a novel concept of the reversible integer discrete Fourier transform (RiDFT) of order 2r, r > 2, when the transform is split by the paired representation into a minimum set of short transforms, i.e., transforms of orders 2k, k < r. By means of the paired transform the signal is represented as a set of short signals which carry the spectral information of the signal at specific and disjoint sets of frequencies. The paired transform-based fast Fourier transform (FFT) involves a few operations of multiplication that can be approximated by integer transforms. Examples of 1-point transforms with one control bit are described. Control bits allow us to invert such approximations. Two control bits are required to perform the 8-point RiDFT, and 12 (or even 8) bits for the 16-point RiDFT of real inputs. The proposed forward and inverse RiDFTs are fast, and the computational complexity of these transforms is comparative with the complexity of the FFT. The 8-point direct and inverse RiDFTs are described in detail. |
| Sponsorship | IEEE Signal Processing Society |
| Starting Page | 5267 |
| Ending Page | 5276 |
| Page Count | 10 |
| File Size | 474085 |
| File Format | |
| ISSN | 1053587X |
| Volume Number | 55 |
| Issue Number | 11 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-11-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fourier transforms Discrete Fourier transforms Discrete transforms Discrete wavelet transforms Fast Fourier transforms Discrete cosine transforms Image coding Frequency Computational complexity paired transform Discrete Fourier transform integer transforms |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Electrical and Electronic Engineering |
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