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A Guided Tour of CML, the Coded Modulation Library

A Guided Tour of CML, the Coded Modulation Library

last updated on **March. 19, 2013 Matthew Valenti **and Terry Ferrett Iterative Solutions and West Virginia University Morgantown, WV 26506-6109 mvalenti@wvu.edu. A Guided Tour of CML, the Coded Modulation Library. Outline. CML overview What is it? How to set it up and get started?

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1.13k views • 94 slides
A Guided Tour of CML, the Coded Modulation Library

A Guided Tour of CML, the Coded Modulation Library

last updated on **March. 19, 2013 Matthew Valenti **and Terry Ferrett Iterative Solutions and West Virginia University Morgantown, WV 26506-6109 mvalenti@wvu.edu. A Guided Tour of CML, the Coded Modulation Library. Outline. CML overview What is it? How to set it up and get started?

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1.08k views • 92 slides
Iterative Detection and Decoding for Wireless Communications

Iterative Detection and Decoding for Wireless Communications

Iterative Detection and Decoding for Wireless Communications. Matthew Valenti Dissertation Defense July 8, 1999 Advisor: Dr. Brian D. Woerner Mobile and Portable Radio Research Group Bradley Department of Electrical and Computer Engineering Virginia Tech Blacksburg, Virginia. Outline.

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764 views • 63 slides
Iterative Detection and Decoding for Wireless Communications

Iterative Detection and Decoding for Wireless Communications

Iterative Detection and Decoding for Wireless Communications. Matthew Valenti Dissertation Defense July 8, 1999 Advisor: Dr. Brian D. Woerner Mobile and Portable Radio Research Group Bradley Department of Electrical and Computer Engineering Virginia Tech Blacksburg, Virginia. Outline.

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641 views • 63 slides
ECED 4504 Digital Transmission Theory

ECED 4504 Digital Transmission Theory

ECED 4504 Digital Transmission Theory. Jacek Ilow (based on the slides by Matthew Valenti) Decoding Turbo Codes. Review: Turbo Codes. Features of turbo codes: Recursive systematic convolutional (RSC) encoding . Parallel code concatenation. non-uniform interleaving. Iterative decoding.

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553 views • 34 slides
MAP decoding: The BCJR algorithm

MAP decoding: The BCJR algorithm

MAP decoding: The BCJR algorithm. Maximum A posteriori Probability Bahl-Cocke-Jelinek-Raviv (1974) Baum-Welch algorithm (1963?)* Decoder inputs: Received sequence r (soft or hard) A priori L-values L a ( u l ) = ln( P ( u l =1)/ P ( u l =0) ) Decoder outputs

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261 views • 25 slides

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