Separation of Convolutive Mixtures of Cyclostationary Sources: A Contrast Function Based Approach

Jallon, Pierre; Chevreuil, Antoine; Loubaton, Philippe; Chevalier, Pascal

doi:10.1007/978-3-540-30110-3_65

Cited by 16 publications

(5 citation statements)

References 6 publications

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“…For this reason, separators such as JADE become useless and have to be replaced by more sophisticated sources separators such as those developed in [18], [19].…”

Section: A Preliminary Methods To Detect Quasi-rectilinearitymentioning

confidence: 99%

Properties, performance and practical interest of the widely linear MMSE beamformer for nonrectilinear signals

2014

Self Cite

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“…For this reason, separators such as JADE become useless and have to be replaced by more sophisticated sources separators such as those developed in [18], [19].…”

Section: A Preliminary Methods To Detect Quasi-rectilinearitymentioning

confidence: 99%

Properties, performance and practical interest of the widely linear MMSE beamformer for nonrectilinear signals

2014

Self Cite

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“…In order to circumvent the difficulty raised above, it was proposed in [22] to consider a simpler function to optimize. By construction, this function does not involve any of the cyclic-frequencies of the mixture.…”

Section: Conversely the Proposed Upper Bound Is Reached For Filters mentioning

confidence: 99%

Convolutive mixtures

Castella¹,

Chevreuil

Pesquet

2010

Handbook of Blind Source Separation

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“…The estimation of the symbol period is outside the scope of this paper. However, the methods proposed in [12,13] can be applied in this context. We consider two underdetermined mixture setups: i) 3 sources and 2 sensors and ii) 4 sources et 3 sensors.…”

Section: Performance Evaluationmentioning

confidence: 99%

Deterministic Blind Separation of Sources Having Different Symbol Rates Using Tensor-Based Parallel Deflation

Almeida

Comon

Luciani

2010

Latent Variable Analysis and Signal Separation

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Abstract. In this work, we address the problem of blind separation of non-synchronous statistically independent sources from underdetermined mixtures. A deterministic tensor-based receiver exploiting symbol rate diversity by means of parallel deflation is proposed. By resorting to bank of samplers at each sensor output, a set of third-order tensors is built, each one associated with a different source symbol period. By applying multiple Canonical Decompositions (CanD) on these tensors, we can obtain parallel estimates of the related sources along with an estimate of the mixture matrix. Numerical results illustrate the bit-error-rate performance of the proposed approach for some system configurations.

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Separation of Convolutive Mixtures of Cyclostationary Sources: A Contrast Function Based Approach

Cited by 16 publications

References 6 publications

Properties, performance and practical interest of the widely linear MMSE beamformer for nonrectilinear signals

Properties, performance and practical interest of the widely linear MMSE beamformer for nonrectilinear signals

Convolutive mixtures

Deterministic Blind Separation of Sources Having Different Symbol Rates Using Tensor-Based Parallel Deflation

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