Two-Component GMM Source Coding and Optimization
A protograph low-density parity-check (P-LDPC) code-based lossy coding system is proposed for compressing the Gaussian mixture model source, as a particular case of shipping transportation systems. The compression performance is benchmarked against the rate-distortion bounds for this source. Some effective methods are developed to improve both the encoder and the decoder to reduce the compression distortion. Experimental results demonstrate that the proposed methods achieve good performance while maintaining low complexity.
Authors
- Huihui Wu (ORCID: https://orcid.org/0000-0002-1097-3792)
- Guanrong Chen (ORCID: https://orcid.org/0000-0003-1381-7418)
- Dan Song (ORCID: https://orcid.org/0000-0002-4096-3333)
- Jinkai Ren (ORCID: https://orcid.org/0000-0002-5374-2476)
- Lin Wang (ORCID: https://orcid.org/0009-0002-9835-2719)
- Jun Chen (ORCID: https://orcid.org/0000-0002-8084-9332)
Institutions
- Jimei University (CN)
- City University of Hong Kong (HK)
- Xiamen University (CN)
- China Academy of Railway Sciences (CN)
- Eastern Institute of Technology, Ningbo
- McMaster University (CA)
Publication Details
- Journal
- IEEE Transactions on Intelligent Transportation Systems
- Published
- 2025-05-16
- DOI
- https://doi.org/10.1109/tits.2025.3568227
- Citations
- 3
- Primary Topic
- Advanced Data Compression Techniques
- Type
- article
- Field-Weighted Citation Impact
- 3.83
Funders
- National Natural Science Foundation of China