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We present an end-to-end, multimodal, fully convolutional network for extracting semantic structures from document images. We consider document semantic structure extraction as a pixel-wise segmentation task, and propose a unified model that classifies pixels based not only on their visual appearance, as in the traditional page segmentation task, but also on the content of underlying text. Moreover,...
A highly-parallel LDPC decoder architecture for 10Gbase-T applications is designed in this paper. Firstly, we reduce the routing complexity and corresponding power consumption by the proposed decoder architecture based on single routing networks. Secondly, the proposed architecture is designed with pipelined layered scheduling and multi-block parallel decoding, which improves operation speed and removes...
An energy-efficient programmable LDPC decoder is proposed for WiMax and Wi-Fi applications. The proposed decoder is designed with overlapped processing units, flexible message passing network and medium-grain partitioned memories to achieve flexibility, area reduction, and energy efficiency. The decoder can be programmed by host processor with several special-purpose micro-instructions. Thus, various...
A programmable architecture is proposed for a flexi-mode quasi-cyclic low-density parity-check code decoder. The proposed architecture has the following advantages: 1) Code rate, length, and pattern can be programmed on the fly; 2) decoding complexity is reduced by algorithm modification; 3) memory read/write operation is reduced by access optimization and hierarchical memory structure; and 4) an...
A 2304-bit flexible decoder for low-density parity-check (LDPC) codes is presented for Wireless-MAN applications. Based on modified turbo-decoding message-passing (M-TDMP) algorithm, the decoder achieves low complexity as well as fast convergence which produces high throughput of 138 Mbps working at 50 MHz. By adopting a novel scheme for early termination of iteration, the proposed decoder obtains...
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