15 june 2011
DESCRIPTION
15 June 2011. Offline Data Reconstruction from Multiple Sources. Mordechai Abu & Roee Ben Halevi. Advisors: Prof. Mark Last, Dr. David Steinberg, Mr . Hanan Friedman. 15 June 2011. The Problem. 15 June 2011. What can we do?. 15 June 2011. Main System Requirements. - PowerPoint PPT PresentationTRANSCRIPT
Mordechai Abu & Roee Ben Halevi
Advisors: Prof. Mark Last, Dr. David Steinberg, Mr. Hanan Friedman
OFFLINE DATA RECONSTRUCTION FROM MULTIPLE SOURCES
15 June 2011
The Problem15 June 2011
What can we do?15 June 2011
Main System Requirements
Multiple inputs – number of input streams will
not be limited.Late integration – integration of more input streams will not require complete re-processing.
User extensions – support for user-defined plugins and extensions through a user-friendly API.
Interface – GUI should be designed to include
real-time processing information.
15 June 2011
What is
is an advanced offline multiplexer that integrates N data streams into one stream that is closest to the original
uses generic and dynamic configurations, including user-friendly API for custom correction algorithms. It supports post integration of late inputs, dynamic utilization of self-written algorithms and provides valuable statistical information.
15 June 2011
compensate for Doppler effect and signal propagation time differences.
𝑓 = 𝑓 0𝑣−𝑣0𝑣−𝑣 𝑠
Architecture & Dataflow
MasterReader
Arbitrer SlaveReader
SlaveReader
SlaveReader
Algorithm
Algorithm
Algorithm
OutputBuilder
15 June 2011
valid at mastervalid at slavefixedcorrupted
User Interface15 June 2011
Data Format15 June 2011
Minor
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Major
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Major
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Major
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Buffer:
User Interface
Automatic analysis of inputs streams…
Length in buffersLength in seconds Reliability
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User Interface
Dynamic configuration…
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User Interface
Processing…
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valid at master (source #8)valid at slave (source #6 or #7)fixed (all sources)corrupted (no data)
User Interface
Statistics…
15 June 2011
Results…
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QUESTIONS…
15 June 2011