Dirk SLOCK

My courses

• SP4COM / Spring 2013 - Signal Processing for Communications
  • The goal of this course is to cover a number of complements to the treatment of physical layer procedures in a wide variety of modem technologies.
  • The details of the adaptation of a number of basic digital communication techniques to some specific communication problems are elaborated. Such details involve for instance multi-rate echo cancellation for full duplex operation on twisted pair telephone lines, synchronization and equalization techniques in a variety of single and multi-carrier systems, fixed point implementation issues of a number of basic algorithms.
  • The extra systems to be covered include xDSL, gigabit Ethernet, powerline systems and DAB/DVB broadcasting.

• SSP / Fall 2013 - Statistical signal processing
  • The proper treatment of modern communication systems requires the modelling of signals as random processes.
  • Often the signal description will involve a number of parameters such as carrier frequency, timing, channel impulse response, noise variance, interference spectrum.
  • The values of these parameters are unknown and need to be estimated for the receiver to be able to proceed.
  • Parameters may also occur in the description of other random analysis of communication networks, or in the descriptions of sounds and images, or other source signals.
  • This course provides an introduction to the basic techniques for estimation of a finite set of parameters, of a signal spectrum or of one complete signal on the basis of a correlated signal optimal filtering).
  • Finally, we consider a prototype parameter estimation problem: sinusoids in noise.