"Compressive Sensing Algorithms for Signal Processing Applications: A Survey"
written by Mohammed M. Abo-Zahhad, Aziza I. Hussein, Abdelfatah M. Mohamed,
published by International Journal of Communications, Network and System Sciences, Vol.8 No.6, 2015
has been cited by the following article(s):
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[18] Compressive Spectrum Sensing for Cognitive Radio Networks
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[19] A performance comparison of measurement matrices in compressive sensing
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[20] New constructions of Bernoulli and Gaussian sensing matrices for compressive sensing
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[21] Lossy compression on IoT big data by exploiting spatiotemporal correlation
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[22] Joint Image Compression and Encryption Based on Compressed Sensing and Entropy Coding
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[23] Energy Efficient Sampling approach of Compressed Sensing for Wireless Body Area Network
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[24] Designing manufacturable filters for a 16-band plenoptic camera using differential evolution
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[25] Fault detection of rolling element bearings using the frequency shift and envelope based compressive sensing
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[26] Sub-Nyquist wideband spectrum sensing based on random demodulation in cognitive radio
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[27] Selecting an Optimized COTS Filter Set for Multispectral Plenoptic Sensing
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[28] ЭФФЕКТИВНОСТЬ ОБНАРУЖЕНИЯ ДИСКРЕТНЫХ РАЗРЕЖЕННЫХ СИГНАЛОВ С ИСПОЛЬЗОВАНИЕМ АЛГОРИТМОВ, ОСНОВАННЫХ НА …
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[30] Compressive Sensing Based Signal Processing in Wireless Sensor Networks: A Survey
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[31] Highly maneuvering target tracking using multi-parameter fusion Singer model
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[32] Development of a Feasible Elastography Framework for Portable Ultrasound
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[33] Smoothed ℓ1-regularization-based line search for sparse signal recovery
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[34] Wideband Spectrum Compressed Blind Sensing without Reconstruction Based on Higher-order Moment
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[35] Bayesian compressive sensing with circulant matrix for spectrum sensing in cognitive radio networks
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[36] Compressive Sensing in Signal Processing: Performance Analysis and Applications
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[37] Smoothed\ ell _1-regularization-based line search for sparse signal recovery
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[38] Proposed Model for Efficient Spectrum Sensing Techniques in Cognitive Radio Network using Compressive Sensing and Interference Temperature Model
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[39] A survey on compressive sensing techniques for cognitive radio networks
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[40] Physical Communication
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[41] 基于期望偏差和广义似然比检验的非重构宽带压缩盲感知
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