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Jinhua Zhu

Researcher at Tianjin University

Publications -  8
Citations -  16

Jinhua Zhu is an academic researcher from Tianjin University. The author has contributed to research in topics: Viterbi decoder & Redundancy (engineering). The author has an hindex of 2, co-authored 7 publications receiving 10 citations.

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Journal ArticleDOI

Design and Implementation of Configuration Memory SEU-Tolerant Viterbi Decoders in SRAM-Based FPGAs

TL;DR: An efficient protection technique is proposed and evaluated showing that it can provide an efficient protection with a lower resource usage than the traditional triple modular redundancy approach.
Proceedings ArticleDOI

Analysis of the Effects of Single Event Upsets (SEUs) on User Memory in FPGA Implemented Viterbi Decoders

TL;DR: The analysis and experiment results show that most of SEUs on user memories can be tolerated by the Viterbi decoder, and the lower bit error rate, the better the fault tolerance of the decoder.
Journal ArticleDOI

Radiation tolerant viterbi decoders for on-board processing (OBP) in satellite communications

TL;DR: Analysis and fault injection experiments are conducted and it is verified that over 97% of the SEUs on user memory would not lead to output errors, and selective protection schemes are proposed to further improve the reliability of the decoder to SEUs to user memory with very small overhead.
Proceedings ArticleDOI

Reliability Evaluation of Polyphase-filter based Decimators Implemented on SRAM-FPGAs

TL;DR: The effects of Single Event Upsets (SEUs) on PPFs based decimators implemented on SRAM-FPGAs are studied to evaluate the reliability of the decimator to SEUs on filter coefficients and on the configuration memory.
Proceedings ArticleDOI

Reliability Evaluation of the Count Min Sketch (CMS) against Single Event Transients (SETs)

TL;DR: In this paper, the effect of SETs on the hash functions of the count min sketch (CMS) frequency estimate is analyzed theoretically in terms of overestimation probability, underestimation probability and the equal probability, and further discussed for data with different frequency.