Delft University of Technology

About: Delft University of Technology is a education organization based out in Delft, Zuid-Holland, Netherlands. It is known for research contribution in the topics: Computer science & Catalysis. The organization has 37681 authors who have published 94404 publications receiving 2741710 citations. The organization is also known as: TU-Delft & Technische Hogeschool Delft.

On the Choice of Smoothing Parameters for Parzen Estimators of Probability Density Functions

Abstract: Parzen estimators are often used for nonparametric estimation of probability density functions. The smoothness of such an estimation is controlled by the smoothing parameter. A problem-dependent criterion for its value is proposed and illustrated by some examples. Especially in multimodal situations, this criterion led to good results.

Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB

Abstract: Classification, Parameter Estimation and State Estimation is a practical guide for data analysts and designers of measurement systems and postgraduates students that are interested in advanced measurement systems using MatLab. "Prtools" is a powerful MatLab toolbox for pattern recognition and is written and owned by one of the coauthors, B. Duin of the Delft University of Technology. Concise, yet in- depth, the book covers both the topics of "pattern classification" and "optimal (state) estimation." After an introductory chapter, the book provides the theoretical construction for classification, estimation, and state estimation and also deals with the skills of how to bring the theoretical concepts to practical systems and how to evaluate these systems. Brimming with scores of example in each chapter, the book is also accompanied by a MatLab toolbox for pattern recognition and classification. Appendixes provide the necessary documentation for this toolbox plus an overview of the most useful functions from these toolboxes.

Strong coupling between single-electron tunneling and nanomechanical motion.

Abstract: Nanoscale resonators that oscillate at high frequencies are useful in many measurement applications. We studied a high-quality mechanical resonator made from a suspended carbon nanotube driven into motion by applying a periodic radio frequency potential using a nearby antenna. Single-electron charge fluctuations created periodic modulations of the mechanical resonance frequency. A quality factor exceeding 10 5 allows the detection of a shift in resonance frequency caused by the addition of a single-electron charge on the nanotube. Additional evidence for the strong coupling of mechanical motion and electron tunneling is provided by an energy transfer to the electrons causing mechanical damping and unusual nonlinear behavior. We also discovered that a direct current through the nanotube spontaneously drives the mechanical resonator, exerting a force that is coherent with the high-frequency resonant mechanical motion.