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Modeling of Non-Gaussian AR Model with Transient Coefficients Using Wavelet Basis.

, , , and . PDCAT, volume 3320 of Lecture Notes in Computer Science, page 791-794. Springer, (2004)

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Multiresolution of Clinical EEG Recordings Based on Wavelet Packet Analysis., , and . ISNN (2), volume 4492 of Lecture Notes in Computer Science, page 1168-1176. Springer, (2007)Analysis of Functional MRI Image Using Independent Component Analysis., , , и . PDCAT, том 3320 из Lecture Notes in Computer Science, стр. 127-130. Springer, (2004)Application of ICA Method for Detecting Functional MRI Activation Data., , , и . ISNN (1), том 3173 из Lecture Notes in Computer Science, стр. 726-731. Springer, (2004)Effective Approach for Detecting Digital Image Watermarking via Independent Component Analysis., , , , и . Australian Conference on Artificial Intelligence, том 3339 из Lecture Notes in Computer Science, стр. 949-954. Springer, (2004)A method for generating non-Gaussian noise series with specified probability distribution and power spectrum., , и . ISCAS (2), стр. 1-4. IEEE, (2003)Analysis of Time-Varying EEG Based on Wavelet Packet Entropy., , и . ISNN (1), том 5551 из Lecture Notes in Computer Science, стр. 21-28. Springer, (2009)Classification of EEG Signals Under Different Brain Functional States Using RBF Neural Network., , и . ISNN (2), том 3174 из Lecture Notes in Computer Science, стр. 356-361. Springer, (2004)Model for Generating Non-gaussian Noise Sequences Having Specified Probability Distribution and Spectrum., , , , и . PDCAT, том 3320 из Lecture Notes in Computer Science, стр. 795-798. Springer, (2004)Normalized RBF Neural Network for Tracking Transient Signal in the Noise., , , и . PDCAT, том 3320 из Lecture Notes in Computer Science, стр. 192-195. Springer, (2004)A Novel Method for Analyzing Dynamic Complexity of EEG Signals Using Symbolic Entropy Measurement., , и . ISNN (3), том 5553 из Lecture Notes in Computer Science, стр. 530-537. Springer, (2009)