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Multivariable analysis of spectral measurements for the characterization of semiconductor processes
(Massachusetts Institute of Technology, 2001)
The availability of affordable and reliable optical sensor technology and the abundance of data that these sensors now provide have created new opportunities to better characterize and control semiconductor processes in ...
Quantum signal processing
(Massachusetts Institute of Technology, 2002)
Quantum signal processing (QSP) as formulated in this thesis, borrows from the formalism and principles of quantum mechanics and some of its interesting axioms and constraints, leading to a novel paradigm for signal ...
Determining molecular conformation from distance or density data
(Massachusetts Institute of Technology, 2000)
The determination of molecular structures is of growing importance in modern chemistry and biology. This thesis presents two practical, systematic algorithms for two structure determination problems. Both algorithms are ...
Methods in wave propagation and scattering
(Massachusetts Institute of Technology, 2001)
Aspects of wave propagation and scattering with an emphasis on specific applications in engineering and physics are examined. Frequency-domain methods prevail. Both forward and inverse problems are considered. Typical ...
Control under communication constraints
(Massachusetts Institute of Technology, 2000)
Resonant transmission line drivers
(Massachusetts Institute of Technology, 2000)
Terrain parameter estimation and traversability assessment for mobile robots
(Massachusetts Institute of Technology, 2003)
The estimation of terrain characteristics is an important missions of Martian exploration rovers. Since only limited resources and human supervision are available, efficient and autonomous method of estimation are required. ...
Blind noise estimation and compensation for improved characterization of multivariable processes
(Massachusetts Institute of Technology, 2000)
Learning with kernel machine architectures
(Massachusetts Institute of Technology, 2000)
A trainable system for object detection in images and video sequences
(Massachusetts Institute of Technology, 2000)