Cardiff-QinetiQ Partnership - Sister Agreement

pancakesbootAI and Robotics

Nov 24, 2013 (3 years and 8 months ago)

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Customer Contact Team

QinetiQ

Cody Technology Park

Ively Road, Farnborough

Hampshire GU14 0LX

United Kingdom

Tel +44 (0) 8700 100942

www.QinetiQ.com


APPLICATION TO SONAR

Experimental sonobuoy array






APPLICATION TO COMMUNICATIONS

HF antenna array


Co
-
channel interference


Successful signal separation







Wireless multimedia networks


Multiple antennas provide spatial diversity


Exploit multipath propagation








GENE EXPRESSION ANALYSIS

DNA Microarray







Microarray signal processing

FOETAL HEARTBEAT ANALYSIS

Non
-
invasive diagnostic technique


BSS applied to multiple ECG signals


Successful clinical trials








Separation of triplet heartbeat signals


QinetiQ and Queen Charlotte’s hospital


joint research


World first


results highlighted in The Lancet (editorial)









PREDICTION OF EPILEPTIC FOCAL SEIZURES

Signal processing applied to scalp EEG


BSS used to estimate original sources








Better prediction from scalp EEG than intracranial EEG







ACKNOWLEDGEMENTS

Research sponsored by the MoD corporate research programme (QinetiQ) and EPSRC
(Cardiff) .

SISTER PARTNERSHIP

Signal Separation: Theory & Engineering Relevance


Cardiff: Prof. Jonathon Chambers


Centre for Digital Signal Processing (CDSP)


School of Engineering


QinetiQ: Prof. John G McWhirter FRS FREng


Centre for Signal and Information Processing (CSIP)


Malvern Technology Centre


Associate Prof. Cardiff University


Visiting Prof. Queen’s University Belfast

Scope


Advanced algorithms for signal separation


broadband signals


convolutive mixing


non
-
stationary environments


Practical applications


Wireless communications


Phased array radar and sonar


Bio
-
medical signal processing

Current projects


EPSRC CASE Studentship



“Video Assisted Audio Source Separation”



Mr Andrew Aubrey



based in Cardiff


EPSRC ICASE Studentship



“Broadband Blind Signal Separation”



Ms Joanne Foster



based in Malvern


EPSRC ICASE Studentship


“The SBR2 Algorithm for Communications Signal Processing


Mr Martin Davies


based in Malvern


Participants in EPSRC funded network for ICA

BLIND SIGNAL SEPARATION (BSS)

Typical scenario











Signal model



Data matrix


Unknown mixture matrix A


Unknown signals S


Input signal properties


non
-
Gaussian



statistically independent

Independent component analysis (ICA)


Higher Order Statistics


QinetiQ “BLISS” algorithm


1. QinetiQ ltd, Malvern

2. School of Engineering, Cardiff University

John G McWhirter
1

FRS FREng and Jonathon Chambers
2

© Copyright QinetiQ ltd 2005

QinetiQ/?/?/PUB??????

……

s
t
1
(
)
s
t
2
(
)
s
t
3
(
)
x
t
1
(
)
x
t
2
(
)
x
t
3
(
)
x
t
p
(
)
)
(
)
(
)
(
t
t
t
n
As
x


N
AS
X


z


Input Data


















Separated sources


Amplitude

(micro volts)

-
200

-
100

0

100

200

300

-
5

0

5

10

15

20

25

Time (milliseconds)

Application to triplets

-
200

-
100

0

100

200

300

-
6

-
4

-
2

0

2

4

6

8

10

12

Time (milliseconds)

14

Time (milliseconds)

-
200

-
100

0

100

200

300

-
5

0

5

10

15

20

25


Averaged foetal ECG


Triplet 1


Triplet 2


Triplet 3

From estimated EEG source:

From intracranial EEG:


A

DNA

microarray
.

Each

dot

represents

the

activity

level

of

a

gene
.

On e

mi c r o a r r a y

can

measure

thousands

of

gene

activity

levels
.

Image
processing

Gene 2

Gene P

t
1

t
2

t
N

Data matrix

P >> N

Finding underlying structure


Principle component analysis.

Independent component
analysis.

Cardiff


QinetiQ SISTER Partnership