A frame synchronization scheme based on decoder soft outputs of low-density parity-check codes over high frequency channels is considered. In a coded orthogonal frequency division multiplexing based system, low-density parity-check code decoder soft outputs are exploited in order to perform frame synchronization. The decoder soft outputs are observed for several candidate frame start positions ...

A versatile Reed-Solomon (RS) decoder structure is developed based on the time-domain decoding algorithm (transform decoding without transforms). In this paper, the algorithm is restructured and a method is given to decode any RS code generated by any generator polynomial. The main advantage of the introduced decoder structure is the versatility. By versatile decoder we mean a decoder that can ...

In previous papers we have considered fast-frequency hopping frequency shift keying. We have proposed a decoder with low error rate in channels with low signal to interference ratio. This decoder uses the Kolmogorov-Smirnov criterion statistics to differentiate transmitted codeword from others. In this paper we consider different goodness-of-fit criterion to improve the decoder error rate. We h...

Silicon-based polarization-encoding quantum key distribution (QKD) has been widely studied, owing to its low cost and robustness. However, prior studies have utilized off-chip devices demodulate the states or perform polarization compensation, given difficulty of fabricating polarized independent components on chip. In this paper we propose a fully chip-based decoder for QKD. The chip realizes ...

In todays era huge volume of information exists everywhere. Therefore, it is very crucial to evaluate that and extract useful, often summarized, out so may be used for relevant purposes. This extraction can achieved through a technique artificial intelligence, namely, machine learning. Indeed automatic text summarization has emerged as an important application learning in processing. this paper...

Recognizing irregular text in natural images is a challenging task computer vision. The existing approaches still face difficulties recognizing because of its diverse shapes. In this paper, we propose simple yet powerful recognition framework based on an encoder-decoder architecture. proposed divided into four main modules. Firstly, the image transformation module, Thin Plate Spline (TPS) emplo...

This paper reports our systems (UT-AKY) submitted in the 3rd Workshop of Asian Translation 2016 (WAT’16) and their results in the English-to-Japanese translation task. Our model is based on the tree-to-sequence Attention-based NMT (ANMT) model proposed by Eriguchi et al. (2016). We submitted two ANMT systems: one with a word-based decoder and the other with a character-based decoder. Experiment...

Abstract The purpose of video summarization is to facilitate large-scale browsing. Video a short and concise synopsis original video. It usually composed set representative frames from the This paper solves problem unsupervised by developing Summarization Network (VSN) summarize videos, which formulated as selecting sparse subset that best represents input VSN predicts probability for each fram...

In this paper we talk about mixed architectures of a H.264/AVC video decoder. Here software part of decoder was implemented in NIOS II processor on a FPGA prototyping board (Stratix III). Software and hardware architectures was proposed to increase the decoder output performance. Based upon the time execution parameters, data dependency constraints, the decoder partitioning is applied. Here the...