Error Control Coding
Why Read This Book
You will get a thorough, engineering-focused treatment of modern error-correcting codes that bridges introductory digital communications and advanced information theory; the book balances rigorous theory with practical decoding algorithms and system design guidance. You will learn state-of-the-art techniques — from algebraic block codes and Reed–Solomon codes to soft-decision decoding, trellis-based methods, and turbo coding — that are directly applicable to communications, storage, and radar systems.
Who Will Benefit
Graduate students, communications and signal-processing engineers, and system designers who need a comprehensive reference to design, analyze, and implement error-control schemes in real systems.
Level: Advanced — Prerequisites: Undergraduate-level probability and random processes, linear algebra, basic digital communications (modulation and channel models), and familiarity with complex baseband signals and spectral analysis.
Key Takeaways
- Explain the mathematical foundations of block and convolutional codes and their performance limits under common channel models.
- Design and analyze algebraic codes including cyclic, BCH, and Reed–Solomon codes and implement practical decoding algorithms.
- Apply trellis representations and implement Viterbi and BCJR/soft-decision algorithms for convolutional and trellis-coded systems.
- Construct concatenated and turbo coding schemes and evaluate iterative decoding strategies for near-capacity performance.
- Integrate coded modulation and bandwidth-efficient coding methods into communications system design and perform performance trade-off analysis.
Topics Covered
- Introduction and Fundamentals of Error Control Coding
- Linear Block Codes: Structure and Properties
- Cyclic Codes and Algebraic Construction
- BCH Codes and Reed–Solomon Codes
- Decoding Algorithms for Block Codes
- Convolutional Codes and Trellis Representations
- Maximum-Likelihood and Viterbi Decoding
- Soft-Decision Decoding and Reliability Measures
- Concatenated Coding and Interleaving Strategies
- Turbo Codes and Iterative Decoding
- Coded Modulation and Bandwidth-Efficient Schemes
- Performance Analysis, Design of Error-Control Systems, and Implementation Issues
Languages, Platforms & Tools
How It Compares
Compared with Huffman & Pless's Fundamentals of Error-Correcting Codes (which emphasizes algebraic coding theory), Lin's book is broader and more application-oriented; Proakis's Digital Communications covers coding within a wider comms context but with less depth on modern decoding algorithms and turbo codes.
