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Everything about Decoding methods
Algorithms to decode messages
In coding theory, decoding is the process of translating received messages into codewords of a given code. There have been many common methods of mapping messages to codewords. These are often used to recover messages sent over a noisy channel, such as a binary symmetric channel. Wikipedia →
đź§ Start here: a 6-step reading path
- Read the overview: Decoding methodsA 5-minute orientation
- Skim a recent paper: A Review of Chipless RFID Measurement Methods, Response Detection Approaches, and Decoding TechniquesInfluential work since 2022
- Pick up a classic book: Monterey Marina Reading MethodThe most-reprinted book on the subject
- Read the landmark paper: Deep Learning Methods for Improved Decoding of Linear CodesCited 490 times
- Go sideways: Linear codeA closely related topic
- Go sideways: Locally decodable codeA closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Deep Learning Methods for Improved Decoding of Linear Codes
Chemical Methods for Decoding Cytosine Modifications in DNA
Decomposition Methods for Large Scale LP Decoding
Adaptive Methods for Linear Programming Decoding
Chemical Methods for Encoding and Decoding of Posttranslational Modifications
Designing a high-throughput VLC decoder. I. Parallel decoding methods
Bit-error probability for maximum-likelihood decoding of linear block codes and related soft-decision decoding methods
Improved Methods for Encoding and Decoding Dialkylamine-Encoded Combinatorial Libraries
🆕 Influential since 2022
A Review of Chipless RFID Measurement Methods, Response Detection Approaches, and Decoding Techniques
Customized Joint Blind Frame Synchronization and Decoding Methods for Analog LDPC Decoder
Decoding Soil Color: Origins, Influences, and Methods of Analysis
From Proteins to Ligands: Decoding Deep Learning Methods for Binding Affinity Prediction
Speech decoding from stereo-electroencephalography (sEEG) signals using advanced deep learning methods
📚 Books worth reading
- 📕Monterey Marina Reading MethodL. Rey Means · 2019
Biostatistics DecodedA. Gouveia Oliveira · 2013
Decoding and encoding English wordsThomas Baldwin Jones · 1997
In pursuit of the pastLewis R. Binford · 1983- 📕Decoding CultureAndrew Tudor · 1999
The 10-step method of stress reliefAlbert Crum · 2000
From phonics to fluencyTimothy V Rasinski, Timothy V. Rasinski · 2000
Teach DecodingJ. Lloyd Eldredge · 2004
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
đź”— Related topics
- Linear code In coding theory, a linear code is an error-correcting code for which any linear combination of codewords is also a codeword. Linear codes are traditionally…
- Locally decodable code A locally decodable code (LDC) is an error-correcting code that allows a single bit of the original message to be decoded with high probability by only…
- Hadamard code The Hadamard code is an error-correcting code named after the French mathematician Jacques Hadamard that is used for error detection and correction when…
- List decoding In coding theory, list decoding is an alternative to unique decoding of error-correcting codes for large error rates. The notion was proposed by Elias…
- Singleton bound In coding theory, the Singleton bound, named after the American mathematician Richard Collom Singleton (1928–2007), is a relatively crude upper bound on…
- Generalized minimum-distance decoding In coding theory, generalized minimum-distance (GMD) decoding provides an efficient algorithm for decoding concatenated codes, which is based on using…
- Folded Reed–Solomon code In coding theory, folded Reed–Solomon codes are like Reed–Solomon codes, which are obtained by mapping m {\displaystyle m} Reed–Solomon codewords over…
- Zemor's decoding algorithm In coding theory, Zemor's algorithm, designed and developed by Gilles Zémor, is a recursive low-complexity approach to code construction. It is an improvement…