Prof. Ronald R. Coifman
at Yale Univ
SPIE Involvement:
Author | Instructor
Publications (16)

Proceedings Article | 19 March 2009 Paper
Proc. SPIE. 7343, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VII
KEYWORDS: Defense and security, Sensors, Video, Wavelets, Diffusion, Data processing, Signal processing, Image filtering, Mathematics, Filtering (signal processing)

Proceedings Article | 18 May 2006 Paper
Proc. SPIE. 6232, Intelligent Integrated Microsystems
KEYWORDS: Data modeling, Sensors, Electrodes, Wavelets, Diffusion, Data processing, Signal processing, Image filtering, Filtering (signal processing), Data fusion

Proceedings Article | 23 February 2006 Paper
Proc. SPIE. 6091, Optical Biopsy VI
KEYWORDS: Signal to noise ratio, Light sources, Tissues, Diagnostics, Biopsy, Data acquisition, Colon, Biological research, Tissue optics, Prototyping

Proceedings Article | 21 September 2005 Paper
Proc. SPIE. 5914, Wavelets XI
KEYWORDS: Optical spheres, Chemical species, Wavelets, Denoising, Diffusion, Partial differential equations, Mathematics, Optimization (mathematics), Applied mathematics, Data analysis

Proceedings Article | 21 September 2005 Paper
Proc. SPIE. 5914, Wavelets XI
KEYWORDS: Optical spheres, Matrices, Wavelets, Diffusion, Transform theory, Signal processing, Mathematics, Biological research, Multiscale representation, Space operations

Showing 5 of 16 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
SC953: Signal Processing and Multiscale Analysis in Complex Digital Document Spaces
This course provides attendees with a basic working knowledge of signal processing and organization of digital documents using diffusion geometry. We will provide an overview of computational tools for data driven empirical analysis. In particular, constructions of basis functions, generalizating Wavelets, and Fourier modes play a central part. We will discuss the basic methodology for data driven computational learning. Examples of the technique include: organization of sensor data such as sound signatures, images, spectra, text documents, and psychological and/or security questionnaires. Other applications include heterogeneous digital data fusion, subjective search in the digital domain, filling in missing data, denoising, classification diagnostics, and anomaly detection. Relevant emerging applications for this technique include improved filtering of irrelevant and inaccurate data from high dimensional relational security & defense databases such as no-fly and watch lists, allowing resources to be concentrated on valid targets while improving privacy for the overall populace.
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