我悲伤 发表于 2025-3-25 05:09:23

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Genome 发表于 2025-3-25 07:56:44

Sub-Nyquist Sampling and Compressed Sensing in Cognitive Radio Networks,. As a key technology, spectrum sensing enables cognitive radios to find spectrum holes and improve spectral utilization efficiency. To exploit more spectral opportunities, wideband spectrum sensing approaches should be adopted to search multiple frequency bands at a time. However, wideband spectrum

斗志 发表于 2025-3-25 12:32:51

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Juvenile 发表于 2025-3-25 17:07:23

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gerrymander 发表于 2025-3-25 21:32:01

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insurrection 发表于 2025-3-26 04:04:10

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STENT 发表于 2025-3-26 04:26:39

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精美食品 发表于 2025-3-26 08:30:56

,Estimation of Time-Varying Sparse Signals in Sensor Networks,ch time interval, the fusion center transmits the predicted signal estimate and its corresponding error covariance to a selected subset of sensors. The selected sensors compute quantized innovations and transmit them to the fusion center. We consider the situation where the signal is sparse, i.e., a

AND 发表于 2025-3-26 15:45:39

Sparsity and Compressed Sensing in Mono-Static and Multi-Static Radar Imaging,Rs). We provide a brief overview of how sparsity-driven imaging has recently been used in various radar imaging scenarios. We then focus on the problem of imaging from undersampled data, and point to recent work on the exploitation of compressed sensing theory in the context of radar imaging. We con

具体 发表于 2025-3-26 20:44:25

Structured Sparse Bayesian Modelling for Audio Restoration,an example, a model to remove impulse and background noise from audio signals via their representation in time-frequency space using Gabor wavelets is presented. A number of prior models for the sparse structure of the signal in this space are introduced, including simple Bernoulli priors on each co
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查看完整版本: Titlebook: Compressed Sensing & Sparse Filtering; Avishy Y. Carmi,Lyudmila Mihaylova,Simon J. Godsil Book 2014 Springer-Verlag Berlin Heidelberg 2014