This course examines the fundamentals of detection and estimation for signal processing, …
This course examines the fundamentals of detection and estimation for signal processing, communications, and control. Topics covered include: vector spaces of random variables; Bayesian and Neyman-Pearson hypothesis testing; Bayesian and nonrandom parameter estimation; minimum-variance unbiased estimators and the Cramer-Rao bounds; representations for stochastic processes, shaping and whitening filters, and Karhunen-Loeve expansions; and detection and estimation from waveform observations. Advanced topics include: linear prediction and spectral estimation, and Wiener and Kalman filters.
Many people consider analog electronic circuit design complex. This is because designers …
Many people consider analog electronic circuit design complex. This is because designers can achieve the desired performance of a circuit in many ways. Together, theoretical concepts, circuit topologies, electronic devices, their operating conditions, and the system's physical construction constitute an enormous design space in which it is easy to get lost. For this reason, analog electronics often is regarded as an art rather than a solid discipline.
Structured Electronics Design:
Defines a step-by-step hierarchically organized design process. Is based on solid principles from systems engineering, physics, signal processing, control theory, and network theory. Provides a solid foundation for circuit design education and automation. Has been developed at the TU Delft since the 1980s.
The goal of this course is to prepare you to engage in …
The goal of this course is to prepare you to engage in experimental investigations of questions related to linguistic theory, focusing on phonetics and phonology.
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