English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In this paper, we extend polar decoding function to our previous design, and propose a flexible quad-mode forward error correction application specific instruction-set processor (QFEC ASIP) that supports polar, low-density parity-check (LDPC), turbo, and convolutional code (CC) decoding with multiple code lengths and code rates. A unified polar/LDPC/turbo/CC quad-mode algorithm framework is presented. The top level architecture of QFEC ASIP and the polar data path are designed on the basis of the algorithm framework. A quad-mode confliction-free global memory system is proposed. 65.2&#x0025; of global memory banks, 48.9&#x0025; of global memory bits, and 29.7&#x0025; of global memory area are saved via hardware sharing. Specially accelerated FEC decoding instructions make the decoding procedure fully programmable and ensure the high throughput. Synthesis using 65-nm technology shows that the total area of QFEC ASIP is 4.26 mm<sup>2</sup>. QFEC ASIP provides the maximum throughput of 1345 Mb/s for polar, 917 Mb/s for LDPC (WiMAX), 320 Mb/s for turbo, and 387 Mb/s for CC (64 states) at the clock frequency of 344 MHz. QFEC ASIP occupies much smaller silicon area than the sum of the silicon area of 4 single-mode FEC decoders that together provide a similar function range as QFEC ASIP.

QFEC ASIP: A Flexible Quad-Mode FEC ASIP for Polar, LDPC, Turbo, and Convolutional Code Decoding