Accession Number : ADA260899


Title :   Modeling and Classification of Biological Signals.


Descriptive Note : Master's thesis,


Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA


Personal Author(s) : VanDerKamp, Martha M


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a260899.pdf


Report Date : Dec 1992


Pagination or Media Count : 96


Abstract : This thesis examines a number of marine biological signals and the problem of modeling by autoregressive techniques using a prony-svd algorithm to accurately represent segments of biological signals. Two methods are employed to classify the biological signals from the model parameters. The first classification method is based on a Neural Network implementation using a commercial software package. The second method is accomplished by using a distance measure, based on spectral ratios, with respect to modeled reference signals.... Autoregressive modeling, Biological classification, Neural networks, Itakura distance measure.


Descriptors :   *ALGORITHMS , *NEURAL NETS , *THESES , SIGNAL PROCESSING , MODELS , SIGNALS , COMPUTER APPLICATIONS , CLASSIFICATION , PROCESSING , PARAMETERS , BIOLOGY , RATIOS


Subject Categories : Biology
      Cybernetics


Distribution Statement : APPROVED FOR PUBLIC RELEASE