Signal Detection and Noise

Description

The goal of this course is to learn how to properly measure a signal, to understand sources of noise and to cope with them. For this, we offer a combination of theory (lectures), exercises and practical lab work.

Topics:

• Electronic circuits
  Transfer functions, complex impedances, Bode-Plots, Step Response functions

• Fourier Transforms and digital processing
  Convolution, Discrete Fourier Transform, Modulation, Aliasing, Analog/Digital conversion

• Noise
  Noise spectral density, Johnson Noise, Shot Noise, Wiener-Khinchin theorem, Noise reduction

• Feedback and basic system analysis
  Negative and positive feedback, Stability criterion, Laplace Transform

• Operational Amplifiers
  Inverting amplifier, Differentiator, Integrator; Non-ideal OpAmp

Programme form

Lectures, excercises and lab work

Literature

Lecture notes Signal Detection and Noise and background information provided on Blackboard.

Schedule

Rooster

Remark: it is possible that just a single practical group is formed when the size of the group allows this

Exam

Lab work, homework (on-line tests) and exam (mid-term exam)

Prerequisites

Generally: knowledge of Fourier Transforms, Experimental experience, being familiar with Labview software
The following Leiden courses are prerequisites:
Experimentele Natuurkunde, Natuurkundig Onderzoek, Labview, Analyse 3 NA (Fourier Transforms)
If you have not studied in Leiden, but have followed equivalent courses, please contact the lecturer.

More information

Contact details lecturer: Dr.ir. S.J. van der Molen (Sense Jan)
The assistants at the excercises and experimental parts are Thomas Ruytenberg and Jelmer Wagenaar.