• Acta Optica Sinica
  • Vol. 42, Issue 19, 1920002 (2022)
Yaming Liu1、2、***, Hongxiang Guo1、2、*, Yanhu Chen1、2, Jiajing Yang1、2, Yi Guo1、2, and Jian Wu1、2、**
Author Affiliations
  • 1School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 2State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China
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    DOI: 10.3788/AOS202242.1920002 Cite this Article Set citation alerts
    Yaming Liu, Hongxiang Guo, Yanhu Chen, Jiajing Yang, Yi Guo, Jian Wu. Randomized Singular Value Decomposition Based on Optical Computation[J]. Acta Optica Sinica, 2022, 42(19): 1920002 Copy Citation Text show less
    Matrix dimensionality reduction principle based on complex media
    Fig. 1. Matrix dimensionality reduction principle based on complex media
    Schematic diagram of experimental setup
    Fig. 2. Schematic diagram of experimental setup
    Calculation accuracy varying with macropixel size
    Fig. 3. Calculation accuracy varying with macropixel size
    Calculation accuracy varying with sample ratio
    Fig. 4. Calculation accuracy varying with sample ratio
    Calculation accuracy varying with number of singular values used for matrix recovery
    Fig. 5. Calculation accuracy varying with number of singular values used for matrix recovery
    Image compression results based on proposed scheme
    Fig. 6. Image compression results based on proposed scheme
    SchemeTime complexitySpace complexity
    Traditional RSVDOmnrOnr
    RSVD based on optical computationO(1)O(1)
    Table 1. Complexity comparison of matrix dimensionality reduction procedure
    Yaming Liu, Hongxiang Guo, Yanhu Chen, Jiajing Yang, Yi Guo, Jian Wu. Randomized Singular Value Decomposition Based on Optical Computation[J]. Acta Optica Sinica, 2022, 42(19): 1920002
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