Webinar Enterprise & Information Technology Architecture
Live Webinar on
Lossless Data Compression Methods and Compression Performance Metrics Date:
Tuesday, January 28, 2014
Time:
10:00 AM PST | 01:00 PM EST
Duration: 90 Minutes
Location:
REGISTER NOW Online
Instructor: Raymond Moberly
Overview:
Who Will Benefit:
The webinar covers the foundations of data compression in the context of the broader subject of information theory. The learner will gain valuable insight into how lossless compression works and why the techniques are robust and trustworthy. In the historical perspective, data compression concepts have arrived in a timely manner to aid the expanding data storage and wireless communication needs of the modern era. The measure of information is defined probabilistically, it is formally defined as entropy, a term that Claude Shannon borrowed
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System Architects
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Programmers Software Developers
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from quantum mechanics.
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Areas Covered in the Session: l l l l l l l l
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Entropy as the measure of information Shannon's Source Coding Theorem Huffman Trees and Huffman Coding Arithmetic coding Dictionary methods Transform methods Data deduplication Implementation considerations, Open Source software, Hardware compression chips Performance
Data Analysts Technical Managers IT Project Manager IT Managers CIOs CTOs Database Administrators
About Speaker Raymond Moberly Owner & Consultant, Faster Logic LLC Dr. Raymond Moberly is a consulting subject matter expert in the field of Information Theory, knowledgeable about principles of error correction, cryptography, and data compression. He has worked extensively in the field of software defined radio. He has lead development efforts for embedded software and firmware on microcontrollers, digital signal processors, ...more
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