A new application of the singularity expansion method (SEM) is explored. This application combines the classical theory of wave propagation through a multiple scattering environment and the SEM. Since the SEM is generally considered a theory for surface currents on conducting scatterers, extensions are made which permit, under certain conditions, a singularity expansion representation of the electromagnetic field scattered by a dielectric scatterer. Application of this expansion is then made to the multiple scattering case using both single and multiple interactions. A resonance scattering tensor form is used for the SEM description which leads to an associated tensor form of the solution to the multiple scattering problem with each SEM pole effect appearing explicitly. The coherent field is determined for both spatial and SEM parameter random variations. A numerical example for the case of an ensemble of lossy dielectric spheres is made. Accurate resonance expansions for the single scattering problem are derived, and resonance trajectories based on the Debye relaxation model for the refractive index are introduced. Application of the resonance expansions to the multiple scattering results for a slab containing a distribution of spheres with varying radii is made. Conditions are discussed for when the hybrid theory is appropriate. / Ph. D.

by Chan Yiu Tong. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references (leaves 56-[59]). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Communications and Coding Technology --- p.2 / Chapter 1.2 --- The Emerge of Turbo Codes --- p.3 / Chapter 1.3 --- The Extension of Turbo Principle --- p.3 / Chapter 1.4 --- Receiver Structures for Practical Situations --- p.4 / Chapter 1.5 --- Thesis Overview --- p.5 / Chapter 2 --- ISI Channel Model and Channel Equalization --- p.6 / Chapter 2.1 --- A Discrete Time ISI Channel Model --- p.6 / Chapter 2.1.1 --- Optimum Maximum Likelihood Receiver --- p.8 / Chapter 2.1.2 --- The Whitened Matched Filter --- p.11 / Chapter 2.2 --- Equalization Techniques for Combating ISI --- p.13 / Chapter 2.2.1 --- Linear MMSE Equalizer --- p.13 / Chapter 2.2.2 --- MLSE Equalizer in Viterbi Algorithm --- p.15 / Chapter 3 --- An Overview of Turbo Codes --- p.18 / Chapter 3.1 --- The Turbo Encoder --- p.19 / Chapter 3.2 --- The Turbo Interleaver --- p.21 / Chapter 3.3 --- The Iterative Decoder --- p.22 / Chapter 3.3.1 --- The MAP Algorithm --- p.23 / Chapter 3.3.2 --- The Max-Log MAP Algorithm --- p.25 / Chapter 3.3.3 --- The Log-MAP Algorithm --- p.28 / Chapter 4 --- Receivers for Channels with Long Impulse Responses --- p.29 / Chapter 4.1 --- Shortcomings for the Existing Models --- p.30 / Chapter 4.2 --- Proposed System Architecture --- p.30 / Chapter 4.2.1 --- Optimized Model for Channel Shortening Filter --- p.31 / Chapter 4.2.2 --- Method One - Separate Trellises for EQ and DEC --- p.35 / Chapter 4.2.3 --- Method Two - Combined Trellises for EQ and DEC --- p.37 / Chapter 5 --- Performance Analysis --- p.40 / Chapter 5.1 --- Simulation Model and Settings --- p.40 / Chapter 5.2 --- Performance Expectations --- p.43 / Chapter 5.3 --- Simulation Results and Discussions --- p.49 / Chapter 6 --- Concluding Remarks --- p.55 / Bibliography --- p.56

Typescript (photocopy). / Digitized by Kansas Correctional Industries

D. Gabor. / "April 3, 1952." Lectures from the Research Laboratory of Electronics, Massachusetts Institute of Technology, Fall Term, 1951. / Bibliography: p. 47-48. / Army Signal Corps Contract No. DA36-039 sc-100 Project No. 8-102B. Dept. of the Army Project No. 3-99-10-022.

R.M. Fano. / "November 18, 1948." / Bibliography: p. 13. / Army Signal Corps Contract No. W36-039 sc-32037 Project No. 102B. Dept. of the Army Project No. 3-99-10-022.

No description available.

Thesis (Ph.D.)--Washington State University, December 2005. / Includes bibliographical references (p. 79-85).

Thesis (M.Phil.)--Hong Kong University of Science and Technology, 2006. / Includes bibliographical references (leaves 94-96). Also available in electronic version.

[by] Arthur B. Baggeroer. / Bibliography: p. 187-191.

M.Tech. (Computer Science) / The Signal Distribution department of the SABC does planning regarding the signal distribution or broadcasting network of the SABC. In order to do effective planning a tool had to be developed to assist in the planning of the broadcasting network. The Rand Afrikaans University was asked to supply a student to analyze the problems surrounding the development of such a tool and supply the SABC with a solution to the problems. The problems surrounding the development of a broadcast network planning model were the availability and accuracy of the information needed for planning. The data needed was spread throughout the country with only manual means to transport the data. The solution to the problem would be to develop a system to cope with the decentralized database and to gather the data in order to supply valuable planning information. To provide a framework for the solution of the planning problem, a broadcasting network was compared with a computer network. The comparison revealed a number of parallels between a broadcasting and a computer network. As a result of the resemblance between the two types of networks, a foundation for the development of a planning model for a broadcasting network could be identified. The ISO IS OSI approach was used as a foundation for the development of the model. The principles of the seven layers along with the three network management models The broadcasting network model was developed using the principles of the OSI approach, object orientation, geographical information systems and graphical user interfaces. A "package" was defined to assist in the logical data flow of the model. The package contains the specific data used in a calculation. A package containing information can be split or combined according to strict rules. The effective management of the package is a central issue in the development of the planning model. A prototype system was developed on PC-Arc/Info, a PC based GIS. The prototype's aim was to prove that the principles used in the model could be implemented successfully. As the developed system was intended to serve as a prototype, it did not implement the full functionality of the model, but only the functions necessary to prove the viability of the model.