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Amir H. Banihashemi Broadband Communications and Wireless Systems (BCWS) Centre

Iterative Coding for Broadband Communications: A Research Overview of New Trends in Theory and Practice. Amir H. Banihashemi Broadband Communications and Wireless Systems (BCWS) Centre Dept. of Systems & Computer Engineering Carleton University. Research Projects.

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Amir H. Banihashemi Broadband Communications and Wireless Systems (BCWS) Centre

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  1. Iterative Coding for Broadband Communications: A Research Overview of New Trends in Theory and Practice Amir H. Banihashemi Broadband Communications and Wireless Systems (BCWS) Centre Dept. of Systems & Computer Engineering Carleton University

  2. Research Projects • Iterative coding schemes and LDPC codes • Min-sum algorithm and its modifications (Zarkeshvari, Zhao) • Graph-based schedules for iterative decoding (Mao, Xiao) • Normalized and offset belief propagation (Yazdani, Hemati) • Sensitivity of BP and normalized BP to SNR estimation (Hong) • Bit-flipping iterative algorithms (Zarrinkhat) • Hybrid algorithms (Zarrinkhat, Xiao) • Bootstrap decoding and reliability-based scheduling (Nouh) • Iterative decoding in analog electronics and optics (Hemati, Ogbebor)

  3. Research Projects • Dynamics of asynchronous continuous-time iterative decoding (Hemati) • RC-LDPC codes in hybrid ARQ schemes (Yazdani) • LDPC codes on channels with burst errors (Hong) • RC-LDPC codes for robust transmission of JPEG-2000 images (Pan) • Construction of short LDPC codes with low error floors (Xiao) • Coded modulation with LDPC codes (Maddock) • LDPC Lattices (Sadeghi) • Network coding (Xiao) • Coding for MIMO channels (Saeedi)

  4. LDPC codes and iterative decoding • Iterative coding schemes, such as turbo codes and LDPC codes, provide excellent performance/complexity tradeoff. • Iterative decoding can be naturally described using graph representations (Tanner graph (TG)). • For linear block codes: Check Nodes I II III 1 2 3 7 6 5 4 Variable Nodes

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