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La ricerca find articoli where soggetti phrase all words 'BLIND SEPARATION' sort by level,fasc_key/DESCEND, pagina_ini_num/ASCEND ha restituito 231 riferimenti
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    1. Johnson, MH; de Haan, M; Oliver, A; Smith, W; Hatzakis, H; Tucker, LA; Csibra, G
      Recording and analyzing high-density event-related potentials with infantsusing the Geodesic sensor net

      DEVELOPMENTAL NEUROPSYCHOLOGY
    2. Kobayashi, K; Merlet, I; Gotman, J
      Separation of spikes from background by independent component analysis with dipole modeling and comparison to intracranial recording

      CLINICAL NEUROPHYSIOLOGY
    3. Liang, HL
      Adaptive independent component analysis of multichannel electrogastrograms

      MEDICAL ENGINEERING & PHYSICS
    4. Wachtler, T; Lee, TW; Sejnowski, TJ
      Chromatic structure of natural scenes

      JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION
    5. Muraki, S; Nakai, T; Kita, Y; Tsuda, K
      An attempt for coloring multichannel MR imaging data

      IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
    6. Fiori, S
      On blind separation of complex-valued sources by extended Hebbian learning

      IEEE SIGNAL PROCESSING LETTERS
    7. Joho, M; Mathis, H; Moschytz, GS
      Combined blind/nonblind source separation based on the natural gradient

      IEEE SIGNAL PROCESSING LETTERS
    8. Hild, KE; Erdogmus, D; Principe, J
      Blind source separation using Renyi's mutual information

      IEEE SIGNAL PROCESSING LETTERS
    9. Calhoun, VD; Adali, T; Pearlson, GD; Pekar, JJ
      A method for making group inferences from functional MRI data using independent component analysis

      HUMAN BRAIN MAPPING
    10. Jung, TP; Makeig, S; Westerfield, M; Townsend, J; Courchesne, E; Sejnowski, TJ
      Analysis and visualization of single-trial event-related potentials

      HUMAN BRAIN MAPPING
    11. Calhoun, VD; Adali, T; Pearlson, GD; Pekar, JJ
      Spatial and temporal independent component analysis of functional MRI datacontaining a pair of task-related waveforms

      HUMAN BRAIN MAPPING
    12. van der Kouwe, AJW; Wang, DL; Brown, GJ
      A comparison of auditory and blind separation techniques for speech segregation

      IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING
    13. Gu, H; Engelien, W; Feng, HH; Silbersweig, DA; Stern, E; Yang, YH
      Mapping transient, randomly occurring neuropsychological events using independent component analysis

      NEUROIMAGE
    14. Calhoun, VD; Adali, T; McGinty, VB; Pekar, JJ; Watson, TD; Pearlson, GD
      fMRI activation in a visual-perception task: Network of areas detected using the general linear model and independent components analysis

      NEUROIMAGE
    15. Zheng, Y; Johnston, D; Berwick, J; Mayhew, J
      Signal source separation in the analysis of neural activity in brain

      NEUROIMAGE
    16. Pham, DT; Cardoso, JF
      Blind separation of instantaneous mixtures of nonstationary sources

      IEEE TRANSACTIONS ON SIGNAL PROCESSING
    17. Schniter, P; Tong, L
      Existence and performance of Shalvi-Weinstein estimators

      IEEE TRANSACTIONS ON SIGNAL PROCESSING
    18. Yao, YW; Poor, HV
      Eavesdropping in the synchronous CDMA channel: An EM-based approach

      IEEE TRANSACTIONS ON SIGNAL PROCESSING
    19. Touzni, A; Fijalkow, I; Larimore, MG; Treichler, JR
      A globally convergent approach for blind MIMO adaptive deconvolution

      IEEE TRANSACTIONS ON SIGNAL PROCESSING
    20. Zhang, YM; Mu, WF; Amin, MG
      Subspace analysis of spatial time-frequency distribution matrices

      IEEE TRANSACTIONS ON SIGNAL PROCESSING
    21. Moreau, E
      A generalization of joint-diagonalization criteria for source separation

      IEEE TRANSACTIONS ON SIGNAL PROCESSING
    22. Leus, G; Vandaele, P; Moonen, M
      Deterministic blind modulation-induced source separation for digital wireless communications

      IEEE TRANSACTIONS ON SIGNAL PROCESSING
    23. Hyvarinen, A
      Blind source separation by nonstationarity of variance: A cumulant-based approach

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    24. Vlassis, N; Motomura, Y
      Efficient source adaptivity in independent component analysis

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    25. Mathis, H; von Hoff, TP; Joho, M
      Blind separation of signals with mixed kurtosis signs using threshold activation functions

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    26. Wu, JM; Chiu, SJ
      Independent component analysis using pots models

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    27. Tan, Y; Wang, J; Zurada, JM
      Nonlinear blind source separation using a radial basis function network

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    28. Kawamoto, M; Barros, AK; Mansour, A; Matsuoka, K; Ohnishi, N
      Blind signal separation for convolved nonstationary signals

      ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE
    29. Ding, PL; Mei, JF; Zhang, LM; Kang, XL
      Research of automatic face recognition based on ICA

      JOURNAL OF INFRARED AND MILLIMETER WAVES
    30. Sato, W; Kochiyama, T; Yoshikawa, S; Matsumura, M
      Emotional expression boosts early visual processing of the face: ERP recording and its decomposition by independent component analysis

      NEUROREPORT
    31. Murata, N; Ikeda, S; Ziehe, A
      An approach to blind source separation based on temporal structure of speech signals

      NEUROCOMPUTING
    32. Ihm, BC; Park, DJ; Kwon, YH
      Adaptive blind source separation using weighted sums of two kinds of nonlinear functions

      IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
    33. Ihm, BC; Park, DJ; Kwon, YH
      Overcomplete blind source separation of finite alphabet sources

      IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
    34. Hyvarinen, A; Hoyer, PO; Inki, M
      Topographic independent component analysis

      NEURAL COMPUTATION
    35. Fiori, S
      A theory for learning by weight flow on Stiefel-Grassman manifold

      NEURAL COMPUTATION
    36. Hyvarinen, A
      Complexity pursuit: Separating interesting components from time series

      NEURAL COMPUTATION
    37. Welling, M; Weber, M
      A constrained EM algorithm for independent component analysis

      NEURAL COMPUTATION
    38. Jerger, KK; Netoff, TI; Francis, JT; Sauer, T; Pecora, L; Weinstein, SL; Schiff, SJ
      Early seizure detection

      JOURNAL OF CLINICAL NEUROPHYSIOLOGY
    39. McKeown, MJ; Radtke, R
      Phasic and tonic coupling between EEG and EMG demonstrated with independent component analysis

      JOURNAL OF CLINICAL NEUROPHYSIOLOGY
    40. Hicks, J; Bayram, S; Tranter, WH; Boyle, RJ; Reed, JH
      Overloaded array processing with spatially reduced search joint detection

      IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
    41. Brown, GD; Yamada, S; Sejnowski, TJ
      Independent component analysis at the neural cocktail party

      TRENDS IN NEUROSCIENCES
    42. Herrmann, F; Nandi, AK
      Blind separation of linear instantaneous mixtures using closed-form estimators

      SIGNAL PROCESSING
    43. Le Caillec, JM; Garello, R
      Nonlinear system identification using autoregressive quadratic models

      SIGNAL PROCESSING
    44. Zhang, YL; Kassam, SA
      Blind separation and equalization using fractional sampling of digital communications signals

      SIGNAL PROCESSING
    45. Mansour, A
      A mutually referenced blind multiuser separation of convolutive mixture algorithm

      SIGNAL PROCESSING
    46. Bofill, P; Zibulevsky, M
      Underdetermined blind source separation using sparse representations

      SIGNAL PROCESSING
    47. Tong, S; Bezerianos, A; Paul, J; Zhu, Y; Thakor, N
      Removal of ECG interference from the EEG recordings in small animals usingindependent component analysis

      JOURNAL OF NEUROSCIENCE METHODS
    48. Gustafsson, MG
      A probabilistic derivation of the partial least-squares algorithm

      JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES
    49. Szu, H; Kopriva, I
      Artificial neural networks for noisy image super-resolution

      OPTICS COMMUNICATIONS
    50. Zarzoso, V; Nandi, AK
      Noninvasive fetal electrocardiogram extraction: Blind separation versus adaptive noise cancellation

      IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
    51. Jung, TP; Makeig, S; McKeown, MJ; Bell, AJ; Lee, TW; Sejnowski, TJ
      Imaging brain dynamics using independent component analysis

      PROCEEDINGS OF THE IEEE
    52. Nandi, AK; Herrmann, F
      Fourth-order cumulant based estimator for independent component analysis

      ELECTRONICS LETTERS
    53. Girin, L; Schwartz, JL; Feng, G
      Audio visual enhancement of speech in noise

      JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
    54. Jung, TP; Makeig, S; Westerfield, M; Townsend, J; Courchesne, E; Sejnowski, TJ
      Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects

      CLINICAL NEUROPHYSIOLOGY
    55. Cardoso, JF
      On the stability of source separation algorithms

      JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY
    56. Choi, S; Cichocki, A; Amari, SI
      Flexible independent component analysis

      JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY
    57. James, C; Lowe, D
      Using dynamical embedding to isolate seizure components in the ictal EEG

      IEE PROCEEDINGS-SCIENCE MEASUREMENT AND TECHNOLOGY
    58. Tsumura, N; Haneishi, H; Miyake, Y
      Independent component analysis of spectral absorbance image in human skin

      OPTICAL REVIEW
    59. Leyman, AR; Kamran, ZM; Abed-Meraim, K
      Higher-order time frequency-based blind source separation technique

      IEEE SIGNAL PROCESSING LETTERS
    60. Yeredor, A
      Blind separation of Gaussian sources via second-order statistics with asymptotically optimal weighting

      IEEE SIGNAL PROCESSING LETTERS
    61. Stoll, B; Moreau, E
      A generalized ICA algorithm

      IEEE SIGNAL PROCESSING LETTERS
    62. Hua, YB; Tugnait, JK
      Blind identifiability of FIR-MIMO systems with colored input using second order statistics

      IEEE SIGNAL PROCESSING LETTERS
    63. Parra, L; Spence, C
      Convolutive blind separation of non-stationary sources

      IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING
    64. Mayhew, J; Johnston, D; Berwick, J; Jones, M; Coffey, P; Zheng, Y
      Spectroscopic analysis of neural activity in brain: Increased oxygen consumption following activation of barrel cortex

      NEUROIMAGE
    65. McKeown, MJ
      Detection of consistently task-related activations in fMRI data with hybrid independent component analysis

      NEUROIMAGE
    66. Ferreol, A; Chevalier, P
      On the behavior of current second and higher order blind source separationmethods for cyclostationary sources

      IEEE TRANSACTIONS ON SIGNAL PROCESSING
    67. Kayhan, AS; Amin, MG
      Spatial evolutionary spectrum for DOA estimation and blind signal separation

      IEEE TRANSACTIONS ON SIGNAL PROCESSING
    68. Chang, CQ; Ding, Z; Yau, SF; Chan, FHY
      A matrix-pencil approach to blind separation of colored nonstationary signals

      IEEE TRANSACTIONS ON SIGNAL PROCESSING
    69. Zarzoso, V; Nandi, AK
      Adaptive blind source separation for virtually any source probability density function

      IEEE TRANSACTIONS ON SIGNAL PROCESSING
    70. Diamantaras, KI; Petropulu, AP; Chen, BN
      Blind two-input-two-output FIR channel identification based on frequency domain second- order statistics

      IEEE TRANSACTIONS ON SIGNAL PROCESSING
    71. Mansour, A; Jutten, C; Loubaton, P
      Adaptive subspace algorithm for blind separation of independent sources inconvolutive mixture

      IEEE TRANSACTIONS ON SIGNAL PROCESSING
    72. Papadias, CB
      Globally convergent blind source separation based on a multiuser kurtosis maximization criterion

      IEEE TRANSACTIONS ON SIGNAL PROCESSING
    73. Chen, TP
      Comments on "Self-Adaptive source separation, Part I: Convergence analysisof direct linear network controlled by the Herault-Jutten algorithm"

      IEEE TRANSACTIONS ON SIGNAL PROCESSING
    74. Cruces-Alvarez, S; Cichocki, A; Castedo-Ribas, L
      An iterative inversion approach to blind source separation

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    75. Douglas, SC
      Self-stabilized gradient algorithms for blind source separation with orthogonality constraints

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    76. Hoyer, PO; Hyvarinen, A
      Independent component analysis applied to feature extraction from colour and stereo images

      NETWORK-COMPUTATION IN NEURAL SYSTEMS
    77. Bartels, A; Zeki, S
      The architecture of the colour centre in the human visual brain: new results and a review

      EUROPEAN JOURNAL OF NEUROSCIENCE
    78. Fiori, S
      Blind separation of circularly distributed sources by neural extended APEXalgorithm

      NEUROCOMPUTING
    79. Tang, AC; Pearlmutter, BA; Zibulevsky, M; Carter, SA
      Blind source separation of multichannel neuromagnetic responses

      NEUROCOMPUTING
    80. Sohn, JI; Lee, M
      Selective attention system using new active noise controller

      NEUROCOMPUTING
    81. Cheung, CC; Xu, L
      Some global and local convergence analysis on the information-theoretic independent component analysis approach

      NEUROCOMPUTING
    82. Cao, JT; Murata, N; Amari, S; Cichocki, A; Takeda, T; Endo, H; Harada, N
      Single-trial magnetoencephalographic data decomposition and localization based on independent component analysis approach

      IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES
    83. Amari, S
      Estimating functions of independent component analysis for temporally correlated signals

      NEURAL COMPUTATION
    84. Lewicki, MS; Sejnowski, TJ
      Learning overcomplete representations

      NEURAL COMPUTATION
    85. Lee, TW; Girolami, M; Bell, AJ; Sejnowski, TJ
      A unifying information-theoretic framework for independent component analysis

      COMPUTERS & MATHEMATICS WITH APPLICATIONS
    86. Vigario, R; Oja, E
      Independence: a new criterion for the analysis of the electromagnetic fields in the global brain?

      NEURAL NETWORKS
    87. Nadal, JP; Korutcheva, E; Aires, F
      Blind source separation in the presence of weak sources

      NEURAL NETWORKS
    88. Hyvarinen, A; Oja, E
      Independent component analysis: algorithms and applications

      NEURAL NETWORKS
    89. Zhukov, L; Weinstein, D; Johnson, C
      Independent component analysis for EEG source localization - An algorithm that reduces the complexity of localizing multiple neural sources

      IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE
    90. Arfanakis, K; Cordes, D; Haughton, VM; Moritz, CH; Quigley, MA; Meyerand, ME
      Combining independent component analysis and correlation analysis to probeinterregional connectivity in fMRI task activation datasets

      MAGNETIC RESONANCE IMAGING
    91. Liang, YC; Leyman, AR; Chin, F
      New criteria for blind source separation using second-order cyclic statistics

      CIRCUITS SYSTEMS AND SIGNAL PROCESSING
    92. Nakada, T; Suzuki, K; Fujii, Y; Matsuzawa, H; Kwee, IL
      Independent component-cross correlation-sequential epoch (ICS) analysis ofhigh field fMRI time series: direct visualization of dual representation of the primary motor cortex in human

      NEUROSCIENCE RESEARCH
    93. von Hoff, TP; Lindgren, AG; Kaelin, AN
      Transpose properties in the stability and performance of the classic adaptive algorithms for blind source separation and deconvolution

      SIGNAL PROCESSING
    94. Yeredor, A
      Blind source separation via the second characteristic function

      SIGNAL PROCESSING
    95. Belouchrani, A; Amin, MG
      Jammer mitigation in spread spectrum communications using blind sources separation

      SIGNAL PROCESSING
    96. Parga, N; Nadal, JP
      Blind source separation with time-dependent mixtures

      SIGNAL PROCESSING
    97. Lee, TW; Lewicki, MS; Sejnowski, TJ
      ICA mixture models for unsupervised classification of non-Gaussian classesand automatic context switching in blind signal separation

      IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
    98. Baccigalupi, C; Bedini, L; Burigana, C; De Zotti, G; Farusi, A; Maino, D; Maris, M; Perrotta, F; Salerno, E; Toffolatti, L; Tonazzini, A
      Neural networks and the separation of cosmic microwave background and astrophysical signals in sky maps

      MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
    99. Yamaguchi, T; Itoh, K
      An algebraic solution to independent component analysis

      OPTICS COMMUNICATIONS
    100. Szu, HH; Kopriva, I; Persin, A
      Independent component analysis approach to resolve the multi-source limitation of the nutating rising-sun reticle based optical trackers

      OPTICS COMMUNICATIONS


ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 22/02/20 alle ore 21:29:53