Takeshi Hashimoto

Available identifiers

zbMath Open hashimoto.takeshiMaRDI QIDQ2733025

List of research outcomes

Publication	Date of Publication	Type
A Systematic Framework for the Construction of Optimal Complete Complementary Codes	2017-07-12	Paper
A Note on Rate-Distortion Functions for Nonstationary Gaussian Autoregressive Processes	2009-02-24	Paper
Bounds on a Probability for the Heavy Tailed Distribution and the Probability of Deficient Decoding in Sequential Decoding	2008-12-21	Paper
https://portal.mardi4nfdi.de/entity/Q4426127	2003-09-16	Paper
Block-definition approaches to source coding with a fidelity criterion	2002-08-04	Paper
A systematic approach to the construction of bandwidth-efficient multidimensional trellis codes	2001-09-04	Paper
Nonparametric threshold decision rule, coverings, and some consequences	2000-09-07	Paper
Composite scheme LR+Th for decoding with erasures and its effective equivalence to Forney's rule	1999-11-21	Paper
Performance of explicit error detection and threshold decision in decoding with erasures	1998-01-21	Paper
Good error-detection codes satisfying the expurgated bound	1996-05-21	Paper
On the error exponent of convolutionally coded ARQ	1995-02-05	Paper
Tree encoding of stationary ergodic sources with a fidelity criterion	1983-01-01	Paper
Source coding for average rate and average distortion: New variable-length coding theorems	1983-01-01	Paper
A hierarchy of codes for memoryless channels (Corresp.)	1981-01-01	Paper
A direct proof of the equality between the block definition and the process definition of distortion-rate functions for stationary ergodic sources	1981-01-01	Paper
On the rate-distortion function for the nonstationary Gaussian autoregressive process (Corresp.)	1980-01-01	Paper
Universally optimum block codes and convolutional codes with maximum likelihood decoding	1980-01-01	Paper
Computational moments for sequential decoding of convolutional codes	1979-01-01	Paper

Research outcomes over time

Doctoral students

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Known relations from the MaRDI Knowledge Graph

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instance of	human

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