Showing 1 - 20 results of 193 for search '"compressed sensing"', query time: 0.05s Refine Results
  1. 1

    Compressed Sensing in On-Grid MIMO Radar by Michael F. Minner

    Published 2015-01-01
    “…Recent advances of Compressive Sensing offer a means of efficiently accomplishing this task. …”
    Get full text
    Article
  2. 2

    Energy constraint Bayesian compressive sensing detection algorithm by Chun-hui ZHAO, Yun-long XU

    Published 2012-10-01
    Subjects: “…Bayesian compressive sensing…”
    Get full text
    Article
  3. 3

    Image Fusing by Block Compressed Sensing in Contourlet Domain by Aiping Tang, Hui Cao

    Published 2015-12-01
    Subjects: “…block compressed sensing…”
    Get full text
    Article
  4. 4

    Application of Compressive Sensing in Solving Monostatic Scattering Problems by Shui-Rong Chai, Li-Xin Guo, Long Li

    Published 2019-01-01
    “…In this paper, a new CS-FMM method that conjugates compressive sensing (CS) with the fast multipole method (FMM) is proposed and validated to efficiently solve monostatic scattering from an arbitrary conducting target. …”
    Get full text
    Article
  5. 5

    Compressed Sensing Based Fingerprint Identification for Wireless Transmitters by Caidan Zhao, Xiongpeng Wu, Lianfen Huang, Yan Yao, Yao-Chung Chang

    Published 2014-01-01
    “…Therefore, this paper proposes a new method to identify different wireless transmitters based on compressed sensing. A data acquisition system is designed to capture the wireless transmitter signals. …”
    Get full text
    Article
  6. 6
  7. 7
  8. 8

    Deterministic Sensing Matrices in Compressive Sensing: A Survey by Thu L. N. Nguyen, Yoan Shin

    Published 2013-01-01
    “…One of the most concerns in compressive sensing is the construction of the sensing matrices. …”
    Get full text
    Article
  9. 9

    Block Compressed Sensing of Images Using Adaptive Granular Reconstruction by Ran Li, Hongbing Liu, Yu Zeng, Yanling Li

    Published 2016-01-01
    “…In the framework of block Compressed Sensing (CS), the reconstruction algorithm based on the Smoothed Projected Landweber (SPL) iteration can achieve the better rate-distortion performance with a low computational complexity, especially for using the Principle Components Analysis (PCA) to perform the adaptive hard-thresholding shrinkage. …”
    Get full text
    Article
  10. 10
  11. 11
  12. 12
  13. 13

    Improved RIP Conditions for Compressed Sensing with Coherent Tight Frames by Yao Wang, Jianjun Wang

    Published 2017-01-01
    “…This paper establishes new sufficient conditions on the restricted isometry property (RIP) for compressed sensing with coherent tight frames. One of our main results shows that the RIP (adapted to D) condition δk+θk,k<1 guarantees the stable recovery of all signals that are nearly k-sparse in terms of a coherent tight frame D via the l1-analysis method, which improves the existing ones in the literature.…”
    Get full text
    Article
  14. 14
  15. 15
  16. 16
  17. 17

    Compressed Sensing Based Apple Image Measurement Matrix Selection by Ying Xiao, Wanlin Gao, Ganghong Zhang, Han Zhang

    Published 2015-07-01
    “…The purpose of this paper is to design a measurement matrix of apple image based on compressed sensing to realize low cost sampling apple image. …”
    Get full text
    Article
  18. 18

    A Novel Coherence Reduction Method in Compressed Sensing for DOA Estimation by Jing Liu, ChongZhao Han, XiangHua Yao, Feng Lian

    Published 2013-01-01
    “…This method is then extended to a more practical condition when highly coherent columns and incoherent columns are considered, for example, the direction of arrival (DOA) estimation problem in phased array radar system using compressed sensing. Numerical simulations show that the proposed method succeeds in identifying multiple targets in a sparse radar scene, where the compressed sensing method based on the original sensing matrix fails. …”
    Get full text
    Article
  19. 19
  20. 20