Performance Evaluation of Frame based Adaptive Compressed Sensing and Non-Adaptive Compressed Sensing based on Average Frame Signal to Noise Ratio

  • Authors

    • T. S. Arulananth
    • R. Satheesh
    • P. Bhaskara Reddy
    2018-10-02
    https://doi.org/10.14419/ijet.v7i4.10.20836
  • Adaptive sensing, Compressed sensing, non adaptive sensing, Nyquist rate, Signal to noise ratio

  • Abstract

    The primary inspiration of our work is to discovering upgrades in the current Compressed Sensing procedure that utilizations Non Adaptive Projection Matrix rule. Normal Frame Signal-to-Noise Ratio (AFSNR) is intended to evaluate the show of the Frame-Based Adaptive Compressed Sensing with the Non-Adaptive Compressed Sensing (CS). It is a developing sign securing strategy and straight gathers the signs in a compacted shape on the off chance that they are meager on some specific premise. Proposed approach utilizes Adaptive Projection Matrix in light of edge examination which gives fundamentally enhanced discourse recreation quality and decreases the noise levels.

  • References

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  • How to Cite

    S. Arulananth, T., Satheesh, R., & Bhaskara Reddy, P. (2018). Performance Evaluation of Frame based Adaptive Compressed Sensing and Non-Adaptive Compressed Sensing based on Average Frame Signal to Noise Ratio. International Journal of Engineering & Technology, 7(4.10), 202-205. https://doi.org/10.14419/ijet.v7i4.10.20836

    Received date: 2018-10-03

    Accepted date: 2018-10-03

    Published date: 2018-10-02