Работы, цитирующие эту работу

Работ: 5

Работа: Sub-Nyquist sampling of multiband signals: perfect reconstruction and bounds on aliasing error

1. Deterministic clustering based compressive sensing scheme for fog-supported heterogeneous wireless sensor networks

   Walid Osamy, Ahmed Aziz, Ahmed M. Khedr

   СтатьяSparse and Compressive Sensing TechniquesPeerJ Computer Science2021Цитирований: 16

   ABIABI:AkademIndex/openalex/2026.other.192548

2. Compressive sensing based secure data aggregation scheme for IoT based WSN applications

   Ahmed Salim, Ahmed Ismail, Walid Osamy +1

   СтатьяSparse and Compressive Sensing TechniquesPLoS ONE2021Цитирований: 5

   ABIABI:AkademIndex/openalex/2021.article.000214

3. Compressive Sparse Binary Signals Reconstruction Algorithm Using Simulated Annealing

   Kongratbay Sharipov, Nodir Hosiyatovich Jumaev, Mansur Eshov +2

   СтатьяSparse and Compressive Sensing TechniquesThe 5th International Conference on Future Networks & Distributed Systems2021Цитирований: 2

   ABIABI:AkademIndex/openalex/2026.other.072556

4. Iterative Selection and Correction Based Adaptive Greedy Algorithm for Compressive Sensing Reconstruction

   Ahmed Aziz, Walid Osamy, Ahmed M. Khedr

   СтатьяSparse and Compressive Sensing TechniquesWireless Personal Communications2020Цитирований: 1

   ABIABI:AkademIndex/openalex/2026.other.204392

5. Peer Review #1 of "Deterministic clustering based compressive sensing scheme for fog-supported heterogeneous wireless sensor networks (v0.1)"

   Walid Osamy, Ahmed Aziz, Ahmed Khedr +75

   ДругоеEnergy Efficient Wireless Sensor Networks2021Цитирований: 0

   ABIABI:AkademIndex/openalex/2021.other.000029