Various schemes allow femtosecond optical parametric oscillators to produce pulses at harmonics of their pump laser repetition frequency, each apparently offering the possibility of generating widely-spaced, tunable frequency combs. Using a 100-MHz Ti:sapphire pump laser, we have compared two alternative optical parametric oscillator architectures, both leading to 300-MHz pulses but one configu...

The use of Support Vector Machines (SVMs) for speaker verification has become increasingly popular. To handle the dynamic nature of the speech utterances, many SVM-based systems use dynamic kernels. Many of these kernels can be placed into two classes, parametric kernels, where the feature-space consists of parameters from the utterance-dependent model, and derivative kernels, where the derivat...

In this paper we propose a novel method of realizing discrete-time (D-T) signal amplification using NanoElectro-Mechanical (NEMS) devices. The amplifier uses mechanical devices instead of traditional solid-state circuits. The proposed NEMS-based D-T amplifier provides high gain and operate on a wide dynamic range of signals, consuming only a few micro watts of power. The proposed concept is sub...

This thesis presents research into the construction of persistent programming systems. Much of the thesis is concerned with the design and implementation of persistent programming languages, in particular PS-algol and Napier. Both languages support machine independent vector and raster graphics data types. Napier provides an environment mechanism that enables the incremental construction and bi...

The advent of ultra-low noise microwave amplifiers revolutionized several research fields demanding quantum-limited technologies. Exploiting a theoretical bimodal description linear phase-preserving amplifier, in this contribution we analyze some the intrinsic properties model architecture (i.e., an rf-SQUID based Josephson Traveling Wave Parametric Amplifier) terms amplification and generation...

Contemporary avant-garde architecture is addressing the demand for an increased level of articulated complexity by means of retooling its methods on the basis of parametric design systems. The contemporary architectural style that has achieved pervasive hegemony within the contemporary architectural avant-garde can be best understood as a research programme based upon the parametric paradigma. ...

Feed forward neural networks (FFNN) with an unconstrained random number of hidden neurons deene exible non-parametric regression models. In M uller and Rios Insua (1998) we have argued that variable architecture models with random size hidden layer signiicantly reduce posterior mul-timodality typical for posterior distributions in neural network models. In this chapter we review the model propo...

Parametric approaches to Learning, such as deep learning (DL), are highly popular in nonlinear regression, in spite of their extremely difficult training with their increasing complexity (e.g. number of layers in DL). In this paper, we present an alternative semi-parametric framework which foregoes the ordinarily required feedback, by introducing the novel idea of geometric regularization. We s...

In January 2005, President Bush announced the Vision for Space Exploration. This vision involved a progressive expansion of human capabilities beyond Low Earth Orbit beginning with a return to the moon starting no later than 2020. Current design processes utilized to meet this vision employ performance based trade studies to determine the lowest cost, highest reliability solution. In these desi...

A parametric approach towards modeling is advocated for skeletal reconstructions. Three-dimensional digital reconstructions are compared with conventional two-dimensional illustrations, particularly silhouette drawings. The advantages of the parametric system provided by the DinoMorph software include: open access to all data comprising the model and the rendering algorithms for the independen...