Dr. Tzyy-Ping Jung
Associate Director at Univ of California San Diego
SPIE Involvement:
Conference Program Committee | Conference Co-Chair | Author | Instructor
Publications (6)

Proceedings Article | 15 May 2012
Proc. SPIE. 8401, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X
KEYWORDS: Signal to noise ratio, Independent component analysis, Electrodes, Video, Neuroscience, Head, Electroencephalography, Neuroimaging, Brain, Compressed sensing

Proceedings Article | 19 March 2009
Proc. SPIE. 7343, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VII
KEYWORDS: Independent component analysis, Data modeling, Magnetic resonance imaging, Data acquisition, Hemodynamics, Analytical research, Neuroimaging, Brain mapping, Functional magnetic resonance imaging, Brain

Proceedings Article | 19 March 2009
Proc. SPIE. 7343, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VII
KEYWORDS: Independent component analysis, Spatial filters, Digital filtering, Linear filtering, Modulators, Signal processing, Electroencephalography, Systems modeling, Data analysis, Brain

Showing 5 of 6 publications
Conference Committee Involvement (8)
Sensing and Analysis Technologies for Biomedical and Cognitive Applications 2016
17 April 2016 | Baltimore, Maryland, United States
Independent Component Analyses, Compressive Sampling, Large Data Analyses (LDA), Neural Networks, Biosystems, and Nanoengineering XIII
23 April 2015 | Baltimore, Maryland, United States
Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XII
7 May 2014 | Baltimore, Maryland, United States
Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XI
1 May 2013 | Baltimore, Maryland, United States
Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X
25 April 2012 | Baltimore, Maryland, United States
Showing 5 of 8 Conference Committees
Course Instructor
SC715: Independent Component Analysis and Beyond: Blind Signal Processing and its Applications
Blind Signal Processing (BSP) is an emerging area of research and technology with solid theoretical foundations and many potential applications. The problems of separating or extracting of the source signals from sensor arrays, without knowledge of the transmission channel characteristics and the real sources, can be expressed briefly as a number of blind source separation (BSS) or related generalized component analysis (GCA) methods: Independent Component Analysis (ICA) (and its extensions), Sparse Component Analysis (SCA), Sparse Principal Component Analysis (SPCA), Non-negative Matrix Factorization (NMF), Time-Frequency Component Analyzer (TFCA) and Multichannel Blind Deconvolution (MBD). BSP is not limited to ICA or BSS. With BSP we aim to discover and validate principles or laws which govern relationships between inputs (hidden components) and outputs (observations) when the information about the propagation Multi-Input Multi-Output (MIMO) system and its inputs are limited or hindered. BSP incorporates many problems, like blind identification of channels of unknown systems or a problem of suitable decomposition of signals into basic latent (hidden) components which do not necessary represent true sources but rather some of their features or sub-components. This four-hour course presents the fundamentals of blind signal processing, especially blind source separation and extraction, and in the remaining time discusses their applications in several important signal processing areas including estimation of sources, novel enhancement, denoising, artifact removal, filtering, detection, classification of multi-sensory signals and data, especially in biomedical applications and Brain Computer Interface (BCI).
SIGN IN TO:
  • View contact details

UPDATE YOUR PROFILE
Is this your profile? Update it now.
Don’t have a profile and want one?

Advertisement
Advertisement
Back to Top