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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mikhael, W.B. Yu, H. |
| Copyright Year | 1993 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Central Florida, Orlando, FL, USA (Mikhael, W.B.; Yu, H.) |
| Abstract | A two-dimensional (2D) signal or image can be represented by a rational complex function. Also, a two-dimensional, linear and shift invariant system can be modeled by a two-dimensional auto-regressive, moving-averaging (ARMA) process. A recently proposed linear technique for image or 2D system representation, by using a rational function, is briefly presented. This method, which is based on the recursive like structure or equationary model, can approximate the unknown 2D system transfer function, or the transform of an image, in the frequency domain in the least-square sense. The authors discuss the important existence, uniqueness and convergence properties associated with this technique. In addition, design examples are also given to show the excellent performance of the algorithm.< |
| Starting Page | 323 |
| Ending Page | 326 |
| File Size | 403826 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780312813 |
| DOI | 10.1109/ISCAS.1993.393723 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1993-05-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Convergence Signal processing algorithms Least squares approximation Equations Frequency domain analysis Modeling Transfer functions Transforms Algorithm design and analysis Signal representations |
| Content Type | Text |
| Resource Type | Article |
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