The conversion of electrical signals into modulated optical waves and back into electrical signals provides the capacity for low-loss radio-frequency (RF) signal transfer over optical fiber. Here, we show that the unique properties of this microwave-photonic link also enable the manipulation of RF signals beyond what is possible in conventional systems. We achieve these capabilities by realizin...

This dissertation is primarily concerned with the estimation of nonlinear communication systems that are modeled by Volterra series. The major methods used for estimating the unknown channel parameters can be classified into two main categories: training-based and blind. First, orthobasis representation and training-based identification through the respective Fourier series are investigated for...

Title of dissertation: SEMICONDUCTOR WAVEGUIDES FOR NONLINEAR OPTICAL SIGNAL PROCESSING Paveen Apiratikul, Doctor of Philosophy, 2009 Dissertation directed by: Professor Thomas E. Murphy Department of Electrical and Computer Engineering This thesis investigates nonlinear effects in semiconductor waveguides for optical signal processing. Two semiconductor waveguides are studied : nanoporous sili...

Electronics is more or less analog in nature, this applies to both the analog and digital circuits. Several transistors and other parts are needed for a single digital gate. However, this could change in the future. The concept of quantum computation has gained attention during the recent years, different architectures such as quantum-dot cellular autom-ata (QCA) [7] have been proposed. Unlike ...

The potential of a χ photonics, implemented in periodically poled Lithium Niobate (PPLN) waveguides with an engineerable quadratic nonlinearity, for ultrafast all-optical signal routing and switching will be evaluated. High bit rate signal regeneration and routing, based on spatial soliton formation in film waveguides, as well as transparent switching, based on parametric amplification in waveg...

Three novel nonlinear parameter estimators are devised and implemented for accurate and fast processing of experimentally measured or theoretically generated time signals of arbitrary length. The new techniques can also be used as powerful tools for diagonalization of large matrices that are customarily encountered in quantum chemistry and elsewhere. The key to the success and the common denomi...

Auditory masking is critical to our understanding of speech and music processing. There are many classes of masking, but two major classes are easily defined. These two types of masking and their relation to nonlinear (NL) speech processing and coding are the focus of this chapter. The first class of masking, denoted neural masking, is due to internal neural noise, characterized in terms of the...

A coherent treatment is presented of Price’s theorem, Pawula’s theorem and Bonnet’s theorem. These theorems are often used for the computation of the expectation of nonlinear functions of normally distributed stochastic variables or stochastic processes. In addition, a number of modifications and simplifications of these theorems is proposed. Finally, a class of non-normal distributions for whi...

For data processing in conventional phase shifting interferometry, Fourier transform, and least-squares-fitting techniques, a whole interferometric data series is required. We propose a new interferometric data processing methodology based on a recurrent nonlinear procedure. The signal value is predicted from the previous step to the next step, and the prediction error is used for nonlinear cor...