Maximum Likelihood Decoding for Multilevel Channels With Gain and Offset Mismatch
نویسندگان
چکیده
منابع مشابه
Maximum Likelihood Decoding of Convolutional Codes for Non-Gaussian Channels
The Viterbi algorithm plays a fundamental role in the design of receivers for digital communication systems corrupted by Gaussian noise. This algorithm arises as the maximum likelihood sequence detector of the transmitted data symbols in several applications, including equalization for channels subject to intersymbol interference, multiuser communications, and the detection of convolutionally e...
متن کاملCapacity-Achieving Codes for Noisy Channels with Bounded Graphical Complexity and Maximum Likelihood Decoding
In this paper, capacity-achieving codes for memoryless binary-input output-symmetric (MBIOS) channels under maximum-likelihood (ML) decoding with bounded graphical complexity are investigated. The graphical complexity of a code is defined as the number of edges in the graphical representation of the code per information bit and is proportional to the decoding complexity per information bit per ...
متن کاملNear Maximum Likelihood Decoding with Deep Learning
A novel and efficient neural decoder algorithm is proposed. The proposed decoder is based on the neural Belief Propagation algorithm and the Automorphism Group. By combining neural belief propagation with permutations from the Automorphism Group we achieve near maximum likelihood performance for High Density Parity Check codes. Moreover, the proposed decoder significantly improves the decoding ...
متن کاملEllipsoidal lists and maximum-likelihood decoding
We study an interrelation between the coverings generated by linear ( )–codes and complexity of their maximum-likelihood (ML) decoding. First, discrete ellipsoids in the Hamming spaces are introduced. These ellipsoids represent the sets of most probable error patterns that need to be tested in soft-decision ML decoding. We show that long linear ( )-codes surrounded by ellipsoids of exponential ...
متن کاملCorrelative level coding and maximum-likelihood decoding
Modems for digital communication often adopt the socalled correlative level coding or the partial-response signaling, which attains a desired spectral shaping by introducing controlled intersymbol interference terms. In this paper, a correlative level encoder is treated as a linear finite-state machine and an application of the maximumlikelihood decoding (MLD) algorithm, which was originally pr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Information Theory
سال: 2016
ISSN: 0018-9448,1557-9654
DOI: 10.1109/tit.2016.2521658