Improved Linearization of the Optimal Compression Function for Laplacian Source
In this paper, linearization of the optimal compression function is done and hierarchical coding (by coding the regions firstly and then the cells inside the region) is applied, achieving simple and fast process of coding and decoding. The signal at the entrance of the scalar quantizer is modeled by...
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| Veröffentlicht in: | Journal of Electrical Engineering 2014-05, Vol.65 (3), p.179-183 |
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| container_title | Journal of Electrical Engineering |
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| creator | Peric, Zoran H Z, Lazar Velimirovic Dincic, Milan R |
| description | In this paper, linearization of the optimal compression function is done and hierarchical coding (by coding the regions firstly and then the cells inside the region) is applied, achieving simple and fast process of coding and decoding. The signal at the entrance of the scalar quantizer is modeled by Laplacian probability density function. It is shown that the linearization of inner regions very little influences distortion and therefore only the last region should be optimized. Two methods of optimization of the last region are proposed, that improve performances of the scalar quantizer, and obtained SQNR (signal-to-quantization noise ratio) is close to that of the nonlinear optimal compression function. |
| doi_str_mv | 10.2478/jee-2014-0028 |
| format | Article |
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| identifier | ISSN: 1339-309X |
| ispartof | Journal of Electrical Engineering, 2014-05, Vol.65 (3), p.179-183 |
| issn | 1339-309X 1335-3632 1339-309X |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1669893586 |
| source | EZB-FREE-00999 freely available EZB journals; Walter De Gruyter: Open Access Journals |
| subjects | Coding Compressing Counters Distortion Linearization Mathematical models optimal compression function Optimization scalar compandor Scalars |
| title | Improved Linearization of the Optimal Compression Function for Laplacian Source |
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