Blind source separation: advances in theory, algorithms and applications / eds.: G.R.Naik, W.Wang. - Berlin; Heidelberg: Springer, 2014. - ix, 551 p.: ill., tab. - Bibliogr. at the end of the chapters. - ISBN 978-3-642-55015-7 Шифр: (И/З.81-B66) 02  Место хранения:   02 | Отделение ГПНТБ СО РАН | Новосибирск

Оглавление / Contents

Part I Theory, Algorithms, and Extensions 1 Quantum-Source Independent Component Analysis and Related Statistical Blind Qubit Uncoupling Methods ................... 3 Yannick Deville and Alain Deville 2 Blind Source Separation Based on Dictionary Learning: A Singularity-Aware Approach ................................ 39 Xiaochen Zhao, Guangyu Zhou, Wei Dai and Wenwu Wang 3 Performance Study for Complex Independent Component Analysis .................................................... 61 Benedikt Loesch and Bin Yang 4 Subband-Based Blind Source Separation and Permutation Alignment ................................................... 97 Bo Peng and Wei Liu 5 Frequency Domain Blind Source Separation Based on Independent Vector Analysis with a Multivariate Generalized Gaussian Source Prior .......................... 131 Yanfeng Liang, Syed Mohsen Naqvi, Wenwu Wang and Jonathon A. Chambers 6 Sparse Component Analysis: A General Framework for Linear and Nonlinear Blind Source Separation and Mixture Identification ............................................. 151 Yannick Deville 7 Underdetermined Audio Source Separation Using Laplacian Mixture Modelling .......................................... 197 Nikolaos Mitianoudis 8 Itakura-Saito Nonnegative Matrix Two-Dimensional Factorizations for Blind Single Channel Audio Separation ... 231 Bin Gao and Wai Lok Woo 9 Source Localization and Tracking: A Sparsity-Exploiting Maximum a Posteriori Based Approach ........................ 259 Md Mashud Hyder and Kaushik Mahata Part II Applications 10 Statistical Analysis and Evaluation of Blind Speech Extraction Algorithms ...................................... 291 Hiroshi Saruwatari and Ryoichi Miyazaki 11 Speech Separation and Extraction by Combining Superdirective Beamforming and Blind Source Separation ..... 323 Lin Wang, Heping Ding and Fuliang Yin 12 On the Ideal Ratio Mask as the Goal of Computational Auditory Scene Analysis .................................... 349 Christopher Hummersone, Toby Stokes and Tim Brookes 13 Monaural Speech Enhancement Based on Multi-threshold Masking .................................................... 369 Masoud Geravanchizadeh and Reza Ahmadnia 14 REPET for Background/Foreground Separation in Audio ........ 395 Zafar Rafii, Antoine Liutkus and Bryan Pardo 15 Nonnegative Matrix Factorization Sparse Coding Strategy for Cochlear Implants ...................................... 413 Hongmei Hu, Guoping Li, Mark E. Lutman and Stefan Bleeck 16 Exploratory Analysis of Brain with ICA ..................... 435 Rubén Martín-Clemente 17 Supervised Normalization of Large-Scale Omic Datasets Using Blind Source Separation .............................. 465 Andrew E. Teschendorff, Emilie Renard and Pierre A. Absil 18 FebICA: Feedback Independent Component Analysis for Complex Domain Source Separation of Communication Signals .. 499 A.K. Kattepur and F. Sattar 19 Semi-blind Functional Source Separation Algorithm from Non-invasive Electrophysiology to Neuroimaging ............. 521 Camillo Porcaro and Franca Tecchio