A.J. van der Veen

Professor, Chairman
Circuits and Systems (CAS), Department of Microelectronics

Expertise: Array signal processing; Signal processing for communications

Themes: Autonomous sensor systems, XG - Next Generation Sensing and Communication


Alle-Jan van der Veen is professor and chair of the Circuits and Systems group at TU Delft. The group covers signal processing algorithms and digital system design, with applications in communication, audio, biomedical, radio astronomy, and automotive sensing.

He is a Fellow of the IEEE and of Eurasip. He was Editor-in-Chief of IEEE Transactions on Signal Processing and IEEE Signal Processing Letters, and an elected member of the IEEE Signal Processing Society (SPS) Board of Governors. He was chair of the IEEE SPS Fellow Reference Committee, chair of the IEEE SPS Signal Processing for Communications Technical Committee, member of the IEEE SPS Sensor Array Multichannel Technical Committee, member of the IEEE SPS Awards Board, member of the IEEE TAB Periodicals Committee and Periodicals Review and Advisory Committee, and Technical Cochair for ICASSP-2011 (Prague).

He currently is Director of Publications of Eurasip (overlooking 3 Elsevier and 6 Springer journals), chair of the Jack S. Kilby Signal Processing Medal Committee, and chair of the IEEE SPS Signal Processing Theory and Methods Technical Committee. He is also member of the IEEE Medals Council, and member of the IEEE SPS Technical Directions Board.

He received an NWO-STW VICI award (personal research grant of 1.2 ME), and two IEEE SPS Young Author Best Paper awards.

His research interests are in the areas of array signal processing and signal processing for communication, with applications to radio astronomy and sensor network localization.

EE2L21 EPO-4: "KITT" autonomous driving challenge

Make a car drive autonomously from A to B

EE2S11 Signals and systems

Theory of signal transformations and LTI systems

EE2T11 Telecommunications A

A first course in telecommunication, with focus on the physical layer. Includes a lab course related to Signals and Systems (preparing for EPO-4)

EE4C03 Statistical digital signal processing

A second course on digital signal processing: random signals, covariances, linear prediction, Levinson and Schur algorithm, spectrum estimation, optimal filtering, Wiener and Kalman filters, LMS and RLS algorithm

ET4147 Signal processing for communications

Signal separation and parameter estimation using arrays of sensors.

Medical Delta Cardiac Arrhythmia Lab

Part of a larger program (with Erasmus MC) to unravel and target electropathology related to atrial arrhythmia

PIPP OLFAR: Breakthrough technologies for Interferometry in Space

Combine multiple satellites into one single scientific instrument: a radio telescope in space

Earlier recognition of cardiovascular diseases

Atrial Fibrillation FIngerPrinting: Spotting Bio-Electrical Markers to Early Recognize Atrial Fibrillation by the Use of a Bottom-Up Approach

Projects history

Data reduction and image formation for future radio telescopes

The future SKA telescope will produce large amounts of correlation data that cannot be stored and needs to be processed quasi real-time. Image formation is the main bottleneck--can compressive sampling and advanced algebraic techniques help?

Sensing Heterogeneous Information Network Environment

How can heterogeneous resources (people, mobile sensors, fixed sensors, social media, information systems, etc.) self-organize for answering information needs?

Radio astronomical calibration and imaging techniques

New, larger and more complex radio telescopes bring new challenges. Foremost among these is the calibration of the data in order to remove atmospheric and instrumental effects which corrupt the exceedingly faint signals from cosmic sources.

Reliable and fast wireless communication for lithography machines

Connecting a sensor network on a moving platform to a control unit; this requires high-speed links with low latency, and accurate wireless clock synchronization.

Separation of AIS Transponder Signals

AIS is a VHF communication system for ship transponders. Seen from a satellite, transponder messages overlap. The aim is to separate these using an antenna array.

Low-frequency distributed radio telescope in space

Below 15 MHz, the ionosphere blocks EM signals from the sky. Therefore, can we design a radio telescope in space, using a swarm of inexpensive nano-satellites? Accurate localization and clock recovery is important.

Blind source separation, subspace estimation, and factor analysis

Factor Analysis and extensions

Matlab code for very efficient computation of the FA decomposition: R = A A' + D (low rank plus diagonal).

Software, Jul 2017

SURV - Signed URV subspace estimation algorithm

Matlab implementation of an efficient subspace estimator/tracker based on hyperbolic Givens rotations. The algorithm is stable for both updates and downdates.

Software, Jan 2012

ACMA - An Analytical Constant Modulus Algorithm

Original matlab code for the ACMA algorithm

Software, Jan 1996

RACMA - Analytical Method for Blind Binary Signal Separation

Original matlab code for blind binary source separation using an AMCA-like algorithm

Software, Jan 1996

Wireless communication

Constant Modulus Algorithm for Peak-to-Average Power Ratio (PAPR) Reduction in MIMO OFDM/A

Matlab code implementing an efficient and effective PAPR reduction method using the well-known CMA

Software, Apr 2012

(SI)JADE - Joint angle and delay estimation using shift-invariance properties

Matlab code for a 2D-ESPRIT-like algorithm

Software, Jan 1996

Last updated: 18 Mar 2019