Signal processing for biologically-inspired gradient source localization and DNA sequence analysis

Signal processing for biologically-inspired gradient source localization and DNA sequence analysis

Biological signal processing can help us gain knowledge about biological complexity, as well as using this knowledge to engineer better systems. Three areas are identified as critical to understanding biology: 1) understanding DNA, 2) examining the overall biological function and 3) evaluating these...

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Bibliographic Details
Main Author: Rosen, Gail L.
Format: Others
Language:en_US
Published: Georgia Institute of Technology 2006
Subjects:
DNA analysis
Ficks second law
Hebbian learning
Biased random walk
Sensor cross-correlation
Delay-and-Sum beamforming
Turbulent plumes
Electronic nose
Tandem repeats
Gradient sensing
Bacterial chemotaxis navigation
Chemotaxis
Biologically-inspired computing
Signal processing
Sensor networks
Nucleotide sequence
Nervous system Degeneration
Online Access:http://hdl.handle.net/1853/11628

Internet

http://hdl.handle.net/1853/11628

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