FPGA implementation of the principal component analysis algorithm for dimensionality reduction of hyperspectral images

Research article (Journal of Real-Time Image Processing, 2016) · cited 71× · AI/ML
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FPGA implementation of the principal component analysis algorithm for dimensionality reduction of hyperspectral images

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FPGA implementation of the principal component analysis algorithm for dimensionality reduction of hyperspectral images is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). FPGA implementation of the principal component analysis algorithm for dimensionality reduction of hyperspectral images. Retrieved May 24, 2026, from https://4ort.xyz/entity/fpga-implementation-of-the-principal-component-analysis-algorithm-for-dimensionality-reduction-of-hyperspectral-images
MLA “FPGA implementation of the principal component analysis algorithm for dimensionality reduction of hyperspectral images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fpga-implementation-of-the-principal-component-analysis-algorithm-for-dimensionality-reduction-of-hyperspectral-images.
BibTeX @misc{4ortxyz_fpga-implementation-of-the-principal-component-analysis-algorithm-for-dimensionality-reduction-of-hyperspectral-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FPGA implementation of the principal component analysis algorithm for dimensionality reduction of hyperspectral images}}, year = {2026}, url = {https://4ort.xyz/entity/fpga-implementation-of-the-principal-component-analysis-algorithm-for-dimensionality-reduction-of-hyperspectral-images}, note = {Accessed: 2026-05-24}}
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