Resource Efficient LDPC Decoders
From Algorithms to Hardware Architectures
- 1st Edition - December 5, 2017
- Imprint: Academic Press
- Authors: Vikram Arkalgud Chandrasetty, Syed Mahfuzul Aziz
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 1 2 5 5 - 7
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 1 2 5 6 - 4
This book takes a practical hands-on approach to developing low complexity algorithms and transforming them into working hardware. It follows a complete design approach – from al… Read more
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Request a sales quoteThis book takes a practical hands-on approach to developing low complexity algorithms and transforming them into working hardware. It follows a complete design approach – from algorithms to hardware architectures - and addresses some of the challenges associated with their design, providing insight into implementing innovative architectures based on low complexity algorithms.
The reader will learn:
- Modern techniques to design, model and analyze low complexity LDPC algorithms as well as their hardware implementation
- How to reduce computational complexity and power consumption using computer aided design techniques
- All aspects of the design spectrum from algorithms to hardware implementation and performance trade-offs
- Provides extensive treatment of LDPC decoding algorithms and hardware implementations
- Gives a systematic guidance, giving a basic understanding of LDPC codes and decoding algorithms and providing practical skills in implementing efficient LDPC decoders in hardware
- Companion website containing C-Programs and MATLAB models for simulating the algorithms, and Verilog HDL codes for hardware modeling and synthesis
Electrical and electronic engineers in academia and industry involved in the design of communication circuits; Research and development engineers in various government research organizations. Postgraduate research students (PhD and Masters) engaged in research in telecommunications and electronic engineering
Abbreviations1.Introduction1.1. Error correction in digital communication1.2. Forward error correction codesReferences2. Overview of LDPC codes2.1. Origin of LDPC codes2.2. Types of LDPC codes2.2.1. Regular and irregular codes2.2.2. Random and pseudo-random codes2.2.3. Structured and unstructured codes2.3. Terminologies in LDPC codes2.3.1. LDPC code parameters2.3.2. Simulation parameters2.3.3. Performance metrics2.4. Summary References3. Structure and flexibility of LDPC codes3.1. Common construction techniques3.1.1. Progressive edge growth algorithm3.1.2. Quasi-cyclic algorithm3.1.3. Spatially-coupled codes3.1.4. Repeat-accumulate codes3.2. Flexible matrices3.2.1. Structure of the matrix3.2.2. Construction technique3.2.3. Standard matrix configurations3.2.4. Visual analysis3.2.5. Performance analysis3.3. SummaryReferences4. LDPC decoding algorithms4.1. Standard decoding algorithms4.1.1. Bit-Flip algorithm4.1.2. Sum-Product algorithm4.1.3. Min-Sum algorithm4.1.4. Stochastic algorithm4.2. Reduced complexity algorithms4.2.1. Simplified message passing4.2.2. Modified Min-Sum4.3. Performance analysis of simplified algorithms4.3.1.Extraction of optimized parameters4.3.2.Performance comparison4.4.SummaryReferences5. LDPC decoder architectures5.1. Most common hardware architectures5.1.1. Fully- parallel5.1.2. Fully-serial5.1.3. Partially-parallel5.2. Literature review of LDPC decoders5.3. SummaryReferences6. Hardware implementation of LDPC decoder6.1. Decoder design methodology6.1.1. Design and implementation 6.1.2. Performance measurement6.2. Prototyping LDPC codes in hardware6.3. Implementation of hardware efficient decoder6.3.1. Fully-parallel architecture 6.3.2. Partially-parallel architecture6.3.3. Performance analysis6.4. Design space exploration6.4.1. Decoding performance6.4.2. Hardware performance6.5. SummaryReferences7. LDPC decoders in multimedia communication7.1. Image communication using LDPC codes7.2. Performance analysis7.2.1. Quality of the reconstructed BMP images7.2.2. Quality of the reconstructed JPEG images7.2.3. Reconstructed JPEG images for various decoders7.3. SummaryReferences8. Prospective LDPC applications8.1. Wireless communication8.2. Optical communication8.3. Flash memory devicesReferencesAppendix-A : Sample C-Programs and MATLAB models for LDPC code construction and simulationAppendix-B : Sample Verilog HDL codes for implementation of fully-parallel LDPC decoder architectureAppendix-C : Sample Verilog HDL codes for implementation of partially-parallel LDPC decoder architecture
- Edition: 1
- Published: December 5, 2017
- No. of pages (Paperback): 190
- No. of pages (eBook): 190
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780128112557
- eBook ISBN: 9780128112564
VC
Vikram Arkalgud Chandrasetty
Vikram Chandrasetty received Bachelor Degree in Electronics and Communication Engineering from Bangalore University (INDIA), Master Degree in VLSI System Design from Coventry University (UK) and PhD in Computer Systems Engineering from the University of South Australia (Australia). During his post-doctoral research fellowship at the University of New Castle (Australia) he worked on designing spatially coupled LDPC codes and hardware implementations. He reviews articles for many journals including Elsevier and IEEE Transactions. Vikram also has substantial experience as a professional engineer. He has worked on ASIC/FPGA design, error correction coding, electronic design automation, cryptography and communication systems for renowned companies including Motorola and SanDisk. He is currently working on designing memory controllers for next generation storage products in Western Digital.
Affiliations and expertise
Principal Engineer, ASIC Design, Western Digital CorporationSA
Syed Mahfuzul Aziz
Syed Mahfuzul Aziz is a professor of Electrical and Electronic Engineering at the University of South Australia. His research interests are in the areas of digital systems, integrated circuit design, wireless sensor networks and smart energy systems. He leads research teams working in low power embedded processing architectures, reconfigurable sensing platforms, integration of novel sensors with electronics and communications. Prof Aziz has extensive experience in technology applications through collaborative projects and has led many industry funded projects. His recent industry collaborations involve emerging IoT applications in organic waste management, water and agriculture sectors. As lead investigator, he has attracted competitive funding from Australian Research Council and Australian government agencies, and also funding from various industry sectors including defence and health. Professor Aziz is a senior member of the IEEE. He was the recipient of the Prime Minister’s Award for Australian University Teacher of the year in 2009.
Affiliations and expertise
Professor, Electrical and Electronic Engineering, University of South Australia, AustraliaRead Resource Efficient LDPC Decoders on ScienceDirect