Neural networks applied to signal processing
Baehre, Mark D.
Therrien, Charles W.
MetadataShow full item record
The relationship between the structure of a neural network and its ability to perform nonlinear mapping is analyzed. A new algorithm, called the conjugate gradient optimization method, for calculating the weights and thresholds of a neural network is presented. The performance of the conjugate gradient algorithm is then compared to the well known backpropagation method and shown to be more computationally efficient. A neural network using the conjugate gradient algorithm is then applied to three simple examples to demonstrate its signal processing capabilities. The first example illustrates the ability of the neural network to perform classification. The second compares the performance of a one-step linear predictor to a neural network for a nonlinear chaotic time series. The neural network predictor is shown to provide much greater accuracy than its linear counterpart. The final application presented demonstrates the ability of a neural network to perform channel equalization for a nonmininmum phase channel. Its performance is then compared to its linear equivalent.
Approved for public release; distribution in unlimited.
Showing items related by title, author, creator and subject.
Global evaluation of special sensor microwave/imager ocean surface wind speed retrieval algorithms for the period September 1991 - April 1992 Hesser, William A. (Monterey, California. Naval Postgraduate School, 1995-06);The Fleet Numerical Meteorology and Oceanography Center (FNMOC) has the charter to provide Special Sensor Microwave/Imager (SSMI) data to the DOD and the NOAA. This has led FNMOC to examine new methods for processing SSM/I ...
Moore, David Franklin (Monterey, California. Naval Postgraduate School, 1991-06);The prompt and accurate processing of sonar data is essential in undersea warfare. The ability to quickly detect and classify sonar targets is crucial to the performance and survivability of all navy surface ships and ...
Computer implementation and simulation of some neural networks used in pattern recognition and classification. Khaidar, Mohamed H. (Monterey, California. Naval Postgraduate School, 1989-03);Searchers and scientists have been studying neural networks for many years hoping to achieve human-like performance in the fields of speech and pattern recognition and classification. In this study, we are first going ...