The Edinburgh Research Partnership
in Engineering and Mathematics
JRI in
Signal and Image Processing
The institute has 25 academic staff, supported by over 100 research staff and students, that
aim to deliver outstanding research and technology transfer in several strategic areas,
including
• the theory of digital signal processing in several dimensions;
• the representation and modelling of sensors and scenes;
• innovative image and signal processing technologies;
• image and signal controlled autonomous systems;
• the development of interactive systems;
• signal and image coding and compression
This joint venture encompasses the activities of the
• Institute for Digital Communications (IDCOM), UoE.
• Centre for Communication Interface (CCIR), UoE.
• The Vision Image and Signal Processing laboratory (VISP),
HWU.
• Oceans Systems Laboratory (OSL), HWU.
Acoustic monitoring of marine mammals
Challenges
Object tracking,
and classification
Autonomous
systems
Audio, video,
convergence
and
recognition
Application and Capability
Acoustic, ultrasonic, LiDAR, mmwave, hyper-spectral, aperture
synthesis, video communication
technology
distributed
graphics
and
Active and passive sensing
techniques
Communication system design
and optimisation
Radar, 2D and nD optical, acoustic
and ultrasonic systems. Applied
synergy
between
sensors,
waveforms and algorithms.
Visual biometrics
Underpinning Theory
Non linear and non-Gaussian
methods
Multi-dimensional
image processing
signal
and
Mathematics and languages for
embedded
and
parallel
algorithm development
Acoustic and electromagnetic
modelling and simulation
Coding and information theory
Airborne Radar
Prof Steve McLaughlin, [email protected]
Real time code and system
development
and
costing:
resource maximisation for finite
time, space and power.
Autonomous vehicles; monitoring,
communication, navigation, and
surveillance.
[email protected]
http://sip.eps.hw.ac.uk/
Heriot-Watt University EH14 4AS
Wireless
technology
and
networks; (mobile, mesh, short
range, wide area, infrastructure,
infrastructure-less),
MIMO,
cooperation,
channel
characterisation, human interface
design
Sensor networks and distributed
compressive sensing;
For More Information Please Contact:
Prof Andrew Wallace,
Texture analysis and synthesis,
audio enhancement, image based
rendering, audio and 2D/3D video
scene
analysis
and
communication
mm-wave
www.erp.ac.uk
imaging
University of Edinburgh EH9 3LA