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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dyer, R.A. Ouattara, S. Dyer, S.A. |
| Copyright Year | 1994 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA (Dyer, R.A.; Ouattara, S.; Dyer, S.A.) |
| Abstract | Two computationally efficient spectrum-recovery schemes have been developed for use by Hadamard-transform spectrometers that have static and dynamic nonidealities in their encoding masks. When a right-cyclic Hadamard pattern is used to encode the mask, a fast Fourier transform (FFT) algorithm or a Trench algorithm can be used to obtain one of the matrix inverses, and an FFT can be used to compute the vector-matrix product, both of which are required in the spectrum-recovery process. In general, the number of mask elements is not an integer power of two, normally requiring that non-radix-2 FFT algorithms be used. However, with appropriate zero-padding of the vectors, radix-2 FFTs can be used to compute the required vector-matrix product. Various combinations of algorithms were used and the total computation times were compared in order to determine the most efficient means of computing the spectrum-estimate. The results indicate that the number of elements in the mask is an important factor in determining which combination of algorithms provides the most efficient recovery of the spectrum-estimate. |
| Starting Page | 1032 |
| Ending Page | 1035 |
| File Size | 391564 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780318803 |
| DOI | 10.1109/IMTC.1994.351928 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-05-10 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Error correction Error correction codes Fast Fourier transforms Spectroscopy Encoding Noise measurement State estimation Aerodynamics Flexible printed circuits Additive noise |
| Content Type | Text |
| Resource Type | Article |
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