An overflow free fixed-point eigenvalue decomposition algorithm: Case study of dimensionality reduction in hyperspectral images

Bibek Kabi, Anand S. Sahadevan, Tapan Pradhan. An overflow free fixed-point eigenvalue decomposition algorithm: Case study of dimensionality reduction in hyperspectral images. In 2017 Conference on Design and Architectures for Signal and Image Processing, DASIP 2017, Dresden, Germany, September 27-29, 2017. pages 1-9, IEEE, 2017. [doi]

@inproceedings{KabiSP17,
  title = {An overflow free fixed-point eigenvalue decomposition algorithm: Case study of dimensionality reduction in hyperspectral images},
  author = {Bibek Kabi and Anand S. Sahadevan and Tapan Pradhan},
  year = {2017},
  doi = {10.1109/DASIP.2017.8122131},
  url = {https://doi.org/10.1109/DASIP.2017.8122131},
  researchr = {https://researchr.org/publication/KabiSP17},
  cites = {0},
  citedby = {0},
  pages = {1-9},
  booktitle = {2017 Conference on Design and Architectures for Signal and Image Processing, DASIP 2017, Dresden, Germany, September 27-29, 2017},
  publisher = {IEEE},
  isbn = {978-1-5386-3534-6},
}