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Research Activities of CWAIP
The CWAIP conducts multidisciplinary research in the
areas of mathematical signal, image and information processing, analysis
and understanding. This symbiosis between mathematics and its
applications enables us to find new ideas, explore new theories and
develop new knowledge and technologies in mathematics, signal, image and
information sciences. In addition to all these, the CWAIP also works on
various projects relevant to Singapore economy and local interests.
(a) Research
Wavelets and Approximation Theory
Data Representation with Redundant Systems
High Dimensional Data Analysis
Time-Frequency Analysis
Signal and Image Processing
Multimedia Information Processing

(b) Applications and Systems
Development
Image, document image and video compression
Wavelet-based audio-video communications system
Denoising and resolution enhancement
Underwater signal processing and recognition
Signal identification and classification
Wavelet-enhanced automated fingerprint identification system

(c) Achievements
Significant research contributions and impact in the
areas of Wavelets and Approximation Theory
Capabilities in applications are of local relevance, resulting in
substantial funding
Winner of National Science Award 1998

Patents and Technology Declarations
The technologies on an automated fingerprint identification system, and Scalable
Compression
and Decompression of Fingerprint Information have been declared
to the University, and the applications for US patents are in progress;
Two other technologies on scalable image and video compression, and a framework
for highly scalable video communications are in the pipeline for declaration to the
University and filing of US patents.
Patent for a software system for simultaneous compression of text and pictures is in
process.

Collaborations
Akram Aldroubi, Vanderbilt University
Raymond Chan, Chinese University of Hong Kong
Tony Chan, University of California, Los Angeles
Ingrid Daubechies, Princeton University
Tim N T Goodman, University of Dundee
Marcus Hegland, Australian National University
David Larson, Texas A&M University
Amos Ron, University of Wisconsin-Madison

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