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IEEE Transactions on Audio, Speech, and Language Processing, ISSN 1558-7916, 07/2006, Volume 14, Issue 4, pp. 1462 - 1469
In this paper, we discuss the evaluation of blind audio source separation (BASS) algorithms. Depending on the exact application, different distortions can be allowed between an estimated source and the wanted true source... 
Additive noise | Source separation | Energy measurement | Independent component analysis | Interference | Data mining | Microphones | quality | evaluation | Filters | Image analysis | measure | performance | Audio source separation | Distortion measurement | Measure | Evaluation | Performance | Quality | Engineering, Electrical & Electronic | Engineering | Acoustics | Technology | Science & Technology | Permissible error | Bass | Artifacts | Separation | Algorithms | Distortion | Blinds | Sound filters | Engineering Sciences | Signal and Image Processing | Computer Science
Journal Article
Journal of machine learning research, ISSN 1533-7928, 2005, Volume 6, pp. 233 - 272
A new algorithmic framework called denoising source separation (DSS) is introduced. The main benefit of this framework is that it allows for the easy... 
Prior information | BSS | Denoising source separation | DSS | ICA | Independent component analysis | Magnetoencephalograms | Blind source separation | CDMA | MEG | Denoising | Automation & Control Systems | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology
Journal Article
Journal Article
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), ISSN 2329-9304, 12/2015, Volume 23, Issue 12, pp. 2136 - 2147
Monaural source separation is important for many real world applications. It is challenging because, with only a single channel of information available, without any constraints, an infinite number of solutions are possible... 
monaural source separation | time-frequency masking | discriminative training | deep recurrent neural network (DRNN) | Deep recurrent neural network (DRNN) | Recurrent neural networks | Neural networks | Blind source separation | Speech processing | Engineering, Electrical & Electronic | Engineering | Acoustics | Technology | Science & Technology | Speech | Singing | Noise levels | Separation | Tasks | Noise reduction | Voice | Gain
Journal Article
Mechanical systems and signal processing, ISSN 0888-3270, 11/2007, Volume 21, Issue 8, pp. 3072 - 3087
In this paper, a novel method for linear normal mode (LNM) identification based on blind source separation (BSS) is introduced... 
Blind source separation | Modal analysis | Vibration tests | Independent component analysis | Engineering | Technology | Engineering, Mechanical | Science & Technology | Algorithms
Journal Article
Mechanical systems and signal processing, ISSN 0888-3270, 11/2017, Volume 96, pp. 303 - 320
Journal Article
Signal processing, ISSN 0165-1684, 11/2001, Volume 81, Issue 11, pp. 2353 - 2362
The scope of this work is the separation of N sources from M linear mixtures when the underlying system is underdetermined, that is, when M< N... 
Underdetermined source separation | l1 norm decomposition | Blind source separation | Potential-function clustering | Sparse signal representation | norm decomposition | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology
Journal Article
IEEE transactions on signal processing, ISSN 1941-0476, 07/2018, Volume 66, Issue 13, pp. 3475 - 3490
Journal Article
Signal processing, ISSN 0165-1684, 05/2017, Volume 134, pp. 76 - 86
...) to polynomial matrices. The purpose of this article is to provide a review of the theoretical foundations of the PEVD and to highlight practical applications in the area of broadband blind source separation (BSS... 
Broadband blind signal separation | Parahermitian matrix | Polynomial matrix eigenvalue decomposition | Sonar | Broadband adaptive beamforming | Radar | Paraunitary matrix | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Electrical engineering | Broadband transmission | Algorithms | Analysis | Radar systems
Journal Article