Learn More
FIFTH ™ , a new stack-based genetic programming language, efficiently expresses solutions to a large class of feature recognition problems. This problem class includes mining time-series data, classification of multivariate data, image segmentation, and digital signal processing (DSP). FIFTH is based on FORTH principles. Key features of FIFTH are a single(More)
For automated surveillance applications, estimating the symbol rate of an unknown digital communication signal is an important step in the analysis process. Several papers have investigated using the wavelet transform in symbol rate estimation algorithms. Due to its complexity, closed form analysis of performance is often limited, and simulations may not(More)
This paper demonstrates that FIFTH™, a new vector-based genetic programming (GP) language, can automatically derive very effective signal processing algorithms directly from signal data. Using symbol rate estimation as an example , we compare the performance of a standard algorithm against an evolved algorithm. The evolved algorithm uses a novel approach in(More)
Rapid adaptability is a critical requirement for modern communication intelligence systems. This paper explores the concept of combining model based design with a runtime framework to realize an easily reprogrammable signal analyzer for embedded COMINT systems. Signal processing experts design algorithms using modeling tools tailored to the domain. The(More)
A priori analysis and classification of digital communication signals is important both in the communication industry for developing new receiver technology and in the intelligence community for deciphering intercepted signals. In both domains, algorithm research focuses on extracting signal characteristics, such as modulation type and symbol rate, even(More)
Modeling to predict flame spread and fire growth is an active area of research in Fire Safety Engineering. A significant limitation to current approaches has been the lack of thermophysical material properties necessary for the simplified pyrolysis models embedded within the models. Researchers have worked to derive physical properties such as density,(More)
iii Acknowledgments I am personally grateful to Henri Darmon, who initiated me into number theory. He transformed my relationship with mathematics, and ultimately, it seems, my entire life's course. I also thank the University of New Orleans for providing the opportunity to pursue this research. The encouraging academic environment at UNO continues to(More)
Solving complex, real-world problems with genetic programming (GP) can require extensive computing resources. However, the highly parallel nature of GP facilitates using a large number of resources simultaneously, which can significantly reduce the elapsed wall clock time per GP run. This paper explores the performance characteristics of an MPI version of(More)
Dedication This dissertation is dedicated to six most important people in my life. First, To my loving wife Deborah for her selfless and unwavering support through thirty-one years of marriage and nine years of graduate school. Second, to my three wonderful children, Aaron, Miriam, and Benjamin, who are a constant source of joy and inspiration, and finally(More)
  • 1