Blind source separation via the second characteristic function
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Blind Source Separation Using Temporal Predictability
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A blind source separation technique using second-order statistics
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Nonlinear blind source separation using kernels
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An Efficient Measure of Signal Temporal Predictability for Blind Source Separation
Neural Processing Letters
A New Approach of Blind Channel Identification in Frequency Domain
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Underdetermined Blind Source Separation Using SVM
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
A PDF-Matched Modification to Stone's Measure of Predictability for Blind Source Separation
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
IEEE Transactions on Signal Processing
On blind separability based on the temporal predictability method
Neural Computation
Blind sources separation algorithm based on adaptive givens rotations
ICNC'09 Proceedings of the 5th international conference on Natural computation
Fuzzy optical flow using in error concealment
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
MRF based spatial complexity for hyperspectral imagery unmixing
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Estimation of delays and attenuations for underdetermined BSS in frequency domain
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Blind separation of digital signal sources in noise circumstance
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Matrix estimation based on normal vector of hyperplane in sparse component analysis
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
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Stone's method is one of the novel approaches to the blind source separation (BSS) problem and is based on Stone's conjecture. However, this conjecture has not been proved. We present a simple simulation to demonstrate that Stone's conjecture is incorrect. We then modify Stone's conjecture and prove this modified conjecture as a theorem, which can be used a basis for BSS algorithms.