IEEE

Derivation of Mutual Information and Linear Minimum Mean-Square Error for Viterbi Decoding of Convolutional Codes Using the Innovations Method

Abstract: We apply the innovations method to Viterbi decoding of convolutional codes. First, we calculate the covariance matrix of the innovation (i.e., the soft-decision input to the main decoder in ...
Scientific Research Publishing

Viterbi, A. (1967) Error Bounds for Convolutional Codes and an Asymptotically Optimum Decoding Algorithm. IEEE Transactions on Information Theory, 13, 260-269.

ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...
Scientific Research Publishing

Viterbi, A.J. and Omura, J.K. (1979) Principles of Digital Communication and Coding. McGraw-Hill.

ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...
GitHub

Pull requests: HINOKAM-ii/Convolutional-Encoding-and-Decoding

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
EurekAlert!

Noninvasive intracranial source signal localization and decoding with high spatiotemporal resolution

(A) Physical drawing of the experimental platform. (B) Schematic diagram of the experimental platform connection. (C) Enlarged view of the skull fixation device. (D) Schematic diagram of the 10–20 ...