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Power Spectrum Blind Sampling

https://doi.org/10.1109/lsp.2011.2158604

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/78.950786openalex-snapshot

Optimal sub-Nyquist nonuniform sampling and reconstruction for multiband signals

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Compressive sampling based MVDR spectrum sensing

inferredcites →https://doi.org/10.1109/icassp.2007.367330openalex-snapshot

Compressed Sensing for Wideband Cognitive Radios

inferredcites →https://doi.org/10.1109/icassp.2009.4960089openalex-snapshot

Compressive wide-band spectrum sensing

inferredcites →https://doi.org/10.1109/icassp.2010.5496101openalex-snapshot

Compressive detection for wide-band spectrum sensing

inferredcites →https://doi.org/10.1109/ita.2008.4601017openalex-snapshot

Spectrum-blind sampling and compressive sensing for continuous-index signals

inferredcites →https://doi.org/10.1109/jstsp.2010.2042414openalex-snapshot

From Theory to Practice: Sub-Nyquist Sampling of Sparse Wideband Analog Signals

inferredcites →https://doi.org/10.1109/tsp.2005.849172openalex-snapshot

Sparse solutions to linear inverse problems with multiple measurement vectors

inferredcites →https://doi.org/10.1109/tsp.2009.2012791openalex-snapshot

Blind Multiband Signal Reconstruction: Compressed Sensing for Analog Signals

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Class Of Circular Sparse Rulers For Compressive Power Spectrum Estimation

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Wideband spectrum compressive sensing for frequency availability in LEO‐based mobile satellite systems

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Wideband Power Spectrum Sensing for Cognitive Radios Based on Sub-Nyquist Sampling

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Wideband delay and Direction of Arrival Estimation using sub-Nyquist sampling

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Blind power spectrum reconstruction for multi-sinusoid signals with generative multicoset sampling

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A multi-sensor sub-Nyquist power spectrum blind sampling approach for low-power wireless sensors in operational modal analysis applications

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Frequency‐domain wideband compressive spectrum sensing

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Wideband Power Spectrum Estimation Based on Sub-Nyquist Sampling in Cognitive Radio Networks

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Cooperative compressive wideband power spectrum sensing

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Power spectrum blind sampling using minimum mean square error and weighted least squares

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Recovering second-order statistics from compressive measurements

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Application of Compressive Sensing in Cognitive Radio Communications: A Survey

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Circular sparse rulers based on co-prime sampling for compressive power spectrum estimation

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Compressive wideband spectrum sensing with spectral prior information

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High-dimensional sparse covariance estimation for random signals

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Power spectrum blind sampling using optimal multicoset sampling patterns in the MSE sense

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Compressive Wideband Spectrum Sensing and Carrier Frequency Estimation with Unknown Mimo Channels

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Interference detection & filtering in satellite transponder

inferred← citeshttps://doi.org/10.1109/icdsp.2011.6005003openalex-snapshot

Multi-coset sampling for power spectrum blind sensing

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Cyclic Feature Detection With Sub-Nyquist Sampling for Wideband Spectrum Sensing

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Compressive Covariance Sensing: Structure-based compressive sensing beyond sparsity

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Sparse Representation for Wireless Communications: A Compressive Sensing Approach

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Compressive Estimation and Imaging Based on Autoregressive Models

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Compressive Spectral Estimation for Nonstationary Random Processes

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Beyond the Limit: A Transformer-Based Approach to Analyze Wide and Non-Sparse Wireless Signals

inferred← citeshttps://doi.org/10.1109/tsp.2012.2201153openalex-snapshot

Compressive Wideband Power Spectrum Estimation

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Wideband Spectrum Sensing Based on Sub-Nyquist Sampling

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Frugal Sensing: Wideband Power Spectrum Sensing From Few Bits

inferred← citeshttps://doi.org/10.1109/tsp.2014.2386291openalex-snapshot

Parametric Frugal Sensing of Power Spectra for Moving Average Models

inferred← citeshttps://doi.org/10.1109/tsp.2015.2391073openalex-snapshot

Maximum Likelihood Passive and Active Sensing of Wideband Power Spectra From Few Bits

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Wideband Sparse Signal Acquisition With Dual-rate Time-Interleaved Undersampling Hardware and Multicoset Signal Reconstruction Algorithms

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Third-Order Statistics Reconstruction From Compressive Measurements

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Real-Time Adaptively Regularized Compressive Sensing in Cognitive Radio Networks

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Spectral Feature Detection With Sub-Nyquist Sampling for Wideband Spectrum Sensing

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An Efficient Spectrum-Sensing Method Based on Analog-to-Information Converter

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Design of an optical ultrasonic signal testing system using LabVIEW

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Compressive Sampling for Energy Spectrum Estimation of Turbulent Flows

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SigChord: Sniffing Wide Non-sparse Multiband Signals for Terrestrial and Non-terrestrial Networks

inferred← citeshttps://doi.org/10.1155/2014/464895openalex-snapshot

Compressed Wideband Spectrum Sensing Based on Discrete Cosine Transform

inferred← citeshttps://doi.org/10.1155/2016/8397201openalex-snapshot

A Novel Approach to Wideband Spectrum Compressive Sensing Based on DST for Frequency Availability in LEO Mobile Satellite Systems

inferred← citeshttps://doi.org/10.1186/1687-1499-2014-218openalex-snapshot

Joint multiband signal detection and cyclic spectrum estimation from compressive samples

inferred← citeshttps://doi.org/10.1186/s13634-015-0267-1openalex-snapshot

Efficient cooperative compressive spectrum sensing by identifying multi-candidate and exploiting deterministic matrix

inferred← citeshttps://doi.org/10.1504/ijwmc.2017.084187openalex-snapshot

Sub-Nyquist spectrum sensing for wideband cognitive radios: a survey

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Efficient Wideband Spectrum Sensing with Maximal Spectral Efficiency for LEO Mobile Satellite Systems

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Compressed sensing based cyclic feature spectrum sensing for cognitive radios

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Compressive Power Spectral Analysis

inferred← citeshttps://doi.org/10.4236/jsip.2018.92008openalex-snapshot

Wideband Cognitive Radio Networks Based Compressed Spectrum Sensing: A Survey

inferred← citeshttps://doi.org/10.48550/arxiv.1110.2722openalex-snapshot

Compressive and Noncompressive Power Spectral Density Estimation from Periodic Nonuniform Samples

inferred← citeshttps://doi.org/10.48550/arxiv.1203.5475openalex-snapshot

Compressive Spectral Estimation for Nonstationary Random Processes

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Wideband cognitive radio: monitoring, detection and sparse noise subspace communication

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Multilevel Method for Turbulence Energy Spectrum Estimation by Compressive Sampling

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COMPRESSIVE SAMPLING FOR ENERGY SPECTRUM ESTIMATION OF TURBULENT FLOWS

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