With the continuous development of educational informatization, more and more emerging technologies are applied in teaching activities. These technologies provide massive and multidimensional information for teaching ...
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With the continuous development of educational informatization, more and more emerging technologies are applied in teaching activities. These technologies provide massive and multidimensional information for teaching research, but at the same time, the information obtained by teachers and students presents an explosive increase. Extracting the core content of the class record text through text summarization technology to generate concise class minutes can significantly improve the efficiency of teachers and students to obtain information. This article proposes a hybrid-view class minutes automatic generation model (HVCMM). The HVCMM model uses a multilevel encoding strategy to encode the long text of the input class records to avoid memory overflow in the calculation after the long text is input into the single-level encoder. The HVCMM model uses the method of coreference resolution and adds role vectors to solve the problem that the excessive number of participants in the class may lead to confusion about the referential logic. Machine learning algorithms are used to analyze the topic and section of the sentence to capture structural information. We test the HVCMM model on the Chinese class minutes dataset (CCM) and the augmented multiparty interaction (AMI) dataset, and the results show that the HVCMM model outperforms other baseline models on the ROUGE metric. With the help of the HVCMM model, teachers can improve the efficiency of reflection after class and improve the teaching level. Students can review the key content to strengthen their understanding of what they have learned with the help of the class minutes automatically generated by the model.
For coherent detection, block-coded modulation is a bandwidth efficient scheme. In this paper, we propose theorems about the error performance of block-coded modulation using M-ary phase-shift keying (MPSK) for noncoh...
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For coherent detection, block-coded modulation is a bandwidth efficient scheme. In this paper, we propose theorems about the error performance of block-coded modulation using M-ary phase-shift keying (MPSK) for noncoherent detection. Based on these theorems, we propose a novel block-coded modulation scheme for noncoherent detection called noncoherent block-coded MPSK. The proposed scheme provides flexible designs of noncoherent block codes with different code rate, block length and error performance. Good noncoherent block codes can be easily obtained by properly choosing binary linear block codes as the component codes. Moreover, noncoherent block codes of this new scheme can be decoded by multistage decoding, which has the advantage of low complexity and satisfactory error performance. In this paper, two algorithms of multistage decoding for noncoherent detection are proposed as well. The error performance of some designed codes and decoding algorithms is verified by computer simulation.
We propose an analytical framework for characterizing the tradeoff between fairness and throughput that arises in a cellular or satellite downlink when multicast information is encoded in two resolution levels (high v...
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We propose an analytical framework for characterizing the tradeoff between fairness and throughput that arises in a cellular or satellite downlink when multicast information is encoded in two resolution levels (high versus low priority information). Given a target fairness (measured in terms of the ratio between the information rates of low versus high resolution stream), the operator seeks to optimize the modulation and coding schemes so as to maximize the average cell throughput. Viewing operating points as fairness-throughput pairs allows to meaningfully quantify and interpret the superiority of non-orthogonal multiple access techniques such as superposition coding against simple orthogonal time division. The optimal fairness-throughput tradeoff curve for superposition coding versus time division is derived in the Gaussian setting. A practical implementation with 16-QAM constellations and multilevel coding is proposed and its tradeoff curve is numerically evaluated.
A low-complexity rate- and channel-configurable forward error-correction (FEC) scheme is proposed, consisting of an inner low-density parity-check code concatenated with an outer zipper code. A tool is developed to op...
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A low-complexity rate- and channel-configurable forward error-correction (FEC) scheme is proposed, consisting of an inner low-density parity-check code concatenated with an outer zipper code. A tool is developed to optimize a multi-level code architecture so that it can operate at multiple transmission rates, channel qualities, and modulation orders. The optimization criterion is selected to maintain a low estimated data-flow in its decoding operation. A hardware-friendly quasi-cyclic structure is considered for the inner code and the performance and complexity is reported for various designed FEC configurations. Compared to existing FEC schemes, the proposed designs deliver a similar performance with up to 63% reduction in decoding complexity or provide up to 0.6 dB coding gain at a similar decoding complexity.
Set partitioning is applied to multidimensional signal spaces over GF(q), i.e., GF(n1)(q)(n1 less-than-or-equal-to q), and both multilevel block codes and multilevel trellis codes over GF(q) are constructed. Multileve...
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Set partitioning is applied to multidimensional signal spaces over GF(q), i.e., GF(n1)(q)(n1 less-than-or-equal-to q), and both multilevel block codes and multilevel trellis codes over GF(q) are constructed. multilevel (n, k, d) block codes over GF(q) with block length n, number of information symbols k, and minimum distance d(min) greater-than-or-equal-to d are presented, where n = n1n2, k = n - SIGMA(i = 1)n1 min {inverted right perpendicular d/i inverted left perpendicular - 1, n2}, n1 less-than-or-equal-to q, n2 less-than-or-equal-to q + 1, and inverted right perpendicular x inverted left perpendicular is the smallest integer larger than or equal to x. These codes use Reed-Solomon codes as component codes. Longer multilevel block codes are also constructed using q-ary block codes with block length longer than q + 1 as component codes. Some quaternary multilevel block codes are presented with the same length and number of information symbols, but larger distance, than the best previously known quaternary one-level block codes. Finally, it is proved that if all the component block codes are linear, the multilevel block code is also linear. Low-rate q-ary convolutional codes, word-error-correcting convolutional codes, and binary-to-q-ary convolutional codes are also used to construct multilevel trellis codes over GF(q) or binary-to-q-ary trellis codes, some of which have a performance/complexity advantage over one-level trellis (convolutional) codes. For small n1, the codes have simple decoding algorithms based on multistage decoding.
We describe an approach to combined equalization and decoding of multilevel block-coded modulation, This approach has better performance than conventional, concatenated equalization and decoding. The proposed structur...
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We describe an approach to combined equalization and decoding of multilevel block-coded modulation, This approach has better performance than conventional, concatenated equalization and decoding. The proposed structure uses a simple iterative scheme to decode and equalize multilevel block-coded modulations based on decision feedback. We show via computer simulation that the combined scheme gives a performance gain of up to 0.8 dB at a bit-error rate of 10(-4).
multilevel coding and bit-interleaved coded modulation employing differential encoding and non-coherent reception over flat fading channels are assessed. To achieve high bandwidth efliciencies mixed amplitude/phase mo...
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multilevel coding and bit-interleaved coded modulation employing differential encoding and non-coherent reception over flat fading channels are assessed. To achieve high bandwidth efliciencies mixed amplitude/phase modulation is performed. It is shown that multiple symbol detection only provides gains for multilevel coding as Gray labelling of the differential symbols is not possible.
A new construction combining LDPC convolutional codes and multilevel coding/modulation is suggested and analyzed. In the case of QPSK, we demonstrate that it has a better performance than an LDPC convolutional code co...
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A new construction combining LDPC convolutional codes and multilevel coding/modulation is suggested and analyzed. In the case of QPSK, we demonstrate that it has a better performance than an LDPC convolutional code combined with conventional Gray mapping. (c) 2004 Elsevier GmbH. All rights reserved.
A framework is proposed that allows for a joint description and optimization of both binary polar coding and 2(m)-ary digital pulse-amplitude modulation (PAM) schemes. For the latter, the multilevel coding (MLC) appro...
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A framework is proposed that allows for a joint description and optimization of both binary polar coding and 2(m)-ary digital pulse-amplitude modulation (PAM) schemes. For the latter, the multilevel coding (MLC) approach as well as bit-interleaved coded modulation (BICM) are considered. The conceptual equivalence of polar coding and multilevel coding is covered in detail. Based on an alternative characterization of the channel polarization phenomenon, rules for the optimum choice of the labeling in coded modulation schemes employing polar codes are developed. Simulation results regarding the error performance of the proposed schemes on the AWGN channel are included.
Following V.V. Ginzburg (1984), a hierarchy of codes is proposed to match the geometric partitioning of a signal set. The authors show that coset codes (including Ungerboeck, lattice, and binary codes) and indeed any ...
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Following V.V. Ginzburg (1984), a hierarchy of codes is proposed to match the geometric partitioning of a signal set. The authors show that coset codes (including Ungerboeck, lattice, and binary codes) and indeed any codes which rely on partitioning of the signal set are all subclasses of the proposed coding scheme. The combination of such codes in a multilevel scheme often leads to reduced complexity in comparison with previously published schemes. A variety of decoder structures is discussed.
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