Estimating Multi-Dimensional Sparsity Level for Spectrum Sensing
Author:
Affiliation:
1. Istanbul Technical University,Department of Electronics and Communications Engineering,Istanbul,Turkey,34467
2. Istanbul Medipol University,Department of Electrical and Electronics Engineering,Istanbul,Turkey,34810
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10118584/10118587/10118987.pdf?arnumber=10118987
Reference25 articles.
1. Data-Assisted Low Complexity Compressive Spectrum Sensing on Real-Time Signals Under Sub-Nyquist Rate
2. Detection of time-varying support via rank evolution approach for effective joint sparse recovery
3. Signal Processing With Compressive Measurements
4. Estimation and Exploitation of Multidimensional Sparsity for MIMO-OFDM Channel Estimation
5. Sparsity order estimation for sub-Nyquist sampling and recovery of sparse multiband signals
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